Abstract
The COVID-19 pandemic shows us how crucial patient empowerment can be in the healthcare ecosystem. Now, we know that scientific advancement, technology integration, and patient empowerment need to be orchestrated to realize future smart health technologies. In that effort, this paper unravels the Good (advantages), Bad (challenges/limitations), and Ugly (lacking patient empowerment) of the blockchain technology integration in the Electronic Health Record (EHR) paradigm in the existing healthcare landscape. Our study addresses four methodically-tailored and patient-centric Research Questions, primarily examining 138 relevant scientific papers. This scoping review also explores how the pervasiveness of blockchain technology can help to empower patients in terms of access, awareness, and control. Finally, this scoping review leverages the insights gleaned from this study and contributes to the body of knowledge by proposing a patient-centric blockchain-based framework. This work will envision orchestrating three essential elements with harmony: scientific advancement (Healthcare and EHR), technology integration (Blockchain Technology), and patient empowerment (access, awareness, and control).
Keywords: Patient empowerment, Blockchain technology, EHR, Smart health, Healthcare
1. Introduction
The advent of Electronic Health Record (EHR) initiated a revolution in Health Information Technology (HIT). The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 provided an incentive of $30 Billion for adopting EHR (Birkhead et al., 2015). According to a report, from 2009 to 2015, a 7-fold increase (from 12.2% to 84%) was found in EHR adoption (Adoption of Electronic Health Record, 2008). The increased system efficiency corroborates both the necessity and success of EHR (Quan et al., 2016)– (Cao et al., 2019a). Patients can now have easy access to their medical records. Quick consult through digital document sharing paves a secure and time-saving path toward patient care. Stored individual patient data helps care providers recommend potential treatment options through pattern recognition, report data analysis, and make data-driven decisions (Lucero et al., 2019)– (Cho et al., 2020). Other advantages include reduced risk of data loss and medical error, and real-time change of patient data (Sauer et al., 2022)– (Cerchione et al., 2022). Different built-in templates and e-prescriptions save time and boost system efficiency. Financial transaction inquiries, billing, and insurance claims have become more convenient (bin Ahmad et al., 2022). EHR contributes to the elimination of lost paper superbills by generating electronic superbills and bill insurances. Even in case of any billing anomaly, patients can easily submit claims to track and check. These advantages have changed the landscape of current hospitalization. The system provides a holistic perspective for better patient treatment. Pre-set reminders automate patient check-up appointments, report pickups and track progress. EHR also enables personalization based on patient or service requirements (Abul-Husn & Kenny, 2019)– (Oh et al., 2022). Built-in templates help care providers to document common data such as patient feedback, issues, or complaints. The communication gap between care providers and patients has been greatly reduced. Doctors can easily access, track and follow up according to patient requirements. Internal and external data sharing has become more convenient (Ghafur et al., 2020).
In order to fully exploit the revolutionary advantages of HIT and pave pathways to future research and advancements, empowering patients become extremely necessary (Agner & Braun, 2018), (Bergier et al., 2021). Patient empowerment from the context of having access, awareness, and control related to medical treatment information is crucial, especially in terms of HIT and its recent advances. Firstly, access to health data contributes to informed patients who demonstrate higher passion and enthusiasm in data sharing, shared decision-making, medical check-ups, and so on (Gamal et al., 2021). Digitized data easier access ensures rapid data collection and sharing, saving considerable time for patients. Additionally, easier access aids in better management of medical information. Errors related to documentation, duplicate records, and misinformation becomes less likely with active patient participation. Easier access then leads to greater awareness as patients become more self-conscious about their health needs for different tests and medications. Patients enjoy a higher quality of service through the improved data management system, automated alerts, and notifications regarding medical check-ups, health conditions, and scheduled appointments. A better relationship is developed with doctors, pharmacies, hospitals, and other related organizations. Patients gain greater awareness about their health, treatment, and overall-related procedures. It becomes easier to avoid unnecessary tests and other associated procedures, reducing the cost significantly. The storing of patient health records over a longer period ensures improved ability for predictive patient treatment. Finally, Improved transparency in medical billings, insurance claims, and other financial transactions ensures patients' trust in the system. All in all, patients have higher control over their health information. However, there are still certain gaps to be addressed. Occurrences like a mismatch of patient data and wrong documentation raise the question of safety and decentralization of patient data. With the integration of different mobile health technology and telecommunication, a patient record might be vulnerable to a data breach.
On a different note, Blockchain is a disruptive innovation with the potential to reconfigure the traditional medical, financial, political, and cultural landscape with its' decentralized marketplace concept and greater security. Blockchain can be considered an accumulation of decentralized, distributed, peer-to-peer blocks of digitally stored, shared, and immutable data entities chained sequentially (Nakamoto, 2022). Blockchain can ensure data transparency and security through decentralized databases with no primary ownership (Kuo et al., 2017), (Nugent et al., 2016). Any data update in the blockchain requires verification before recording to the chain. Once verified, users are eligible to share data entities with other verified users ensuring accountability, efficiency, and scalability (Xia et al., 2017, p. 4). The process can be public and private based on the verification process and level of governance and accessibility. A public model of blockchain requires no vetting, and anyone can participate, such as in Bitcoin (Blockchain: Opportunities for health care, 2022). Alternately, a private blockchain model is regulated and governed by a trusted consortium that evaluates candidates. A form of computer-coded smart contract aids in automating and executing different agreements and contracts (Ethereum Whitepaper ethereum, 2022). Blockchain can be of great importance in HIT as it deals with rich, complex, and sensitive patient data vulnerable to a data breach. Both private and public blockchain models can be implemented based on medical applications and needs, which can have a profound impact on the security aspect of data access in HIT (Rutschman, 2018).
The ubiquitous field of blockchain can contribute to empowering patients in terms of access, awareness, and control. Easier access raises the question of safety and authenticity pertaining to patient data. Occurrences such as misinformation, data loss, duplicate data, and change of information can be inhibited with the integration of a systematic procedure involvement that will oversee and verify every data entry, and blockchain will be at the core of the overall system. The adoption of blockchain enables patients to have a greater awareness of their medical health records and the safety aspects. The alteration of any crucial medical information might prove to be very deleterious concerning patient-doctor shared decision making, anomaly detection, disease recognition, medical prescription, etc. Patients will be entitled to higher control over their medical information and treatment. They can hold the complete authority of ‘selective sharing’ of their medical information and treatment records (Shi et al., 2020). With the implementation of different personalized governance and regulations that suit patients' purpose and ensures control, blockchain can have a revolutionary impact. Various public and private domain-based applications of blockchain can aid in that cause. Even schemes like ‘smart contracts’ pertaining to blockchain can give patients the rightful authority over their medical data and records. The implementation of blockchain can easily be extended to other secondary medical treatment issues, such as financial transactions and insurance claims. Greater control from the context of transparency in finance and accessibility and awareness in medical fields can be achieved with secured information exchange with the help of blockchain technology.
This article-- standing in the intersection of blockchain technology and healthcare-- concentrates on patient empowerment with regard to access, awareness, and control over their electronic health records (EHR) and associated primary and secondary healthcare concerns. The unique contributions of this paper reflect in answering the following Research Questions (RQs):
RQ1
How can we critically interrogate the existing EHR paradigm and identify the roadblocks (challenges) that hinder patients' empowerment in the healthcare ecosystem?
RQ2
How can Blockchain Technology empower patients by leveraging the digital traces left by the patients?
RQ3
What are the existing limitations reflected in the state-of-the-art towards empowering patients in a Blockchain Technology-entailed paradigm?
RQ4
How can we objectively design a Blockchain Technology-entailed EHR paradigm to empower patients considering the varying temporalities of the healthcare ecosystem?
The rest of the paper includes 7 sections. Section 2 describes the study identification and selection procedures. Next, RQ1 is addressed in section 3. Section 4 elaborates different features of blockchain technology pertaining to healthcare. Then section 5 addresses RQ2. The following two sections (section 6 and section 7) delineates RQ3 and RQ4 subsequently. Finally, section 8 summarizes the study with future work recommendations. Fig. 1 depicts the taxonomy of the paper (see Fig. 2).
Fig. 1.
Taxonomy of the contribution.
Fig. 2.
PRISMA flow diagram for study selection in the systematic review.
2. Study identification and selection
This section describes the logical sequence of steps and reasons for choosing a fixed set of study articles included in this review. PRISMA (Page et al., 2021a), (Page et al., 2021b) was used as a meta-analysis tool for identifying and screening eligible articles as showed in Fig. 1. PubMed and Google Scholar were the two bibliographic databases of our study. Since our review intends to delineate the different aspects of blockchain in healthcare and EHR, concerning patient empowerment, we chose the search keywords as follows: blockchain AND healthcare AND “patient empowerment” AND “Electronic Health Record” for Google Scholar. As PubMed includes only medical-related articles, to accumulate the possible number of papers based on our lens of review, the search keywords for PubMed were: blockchain AND healthcare AND (patient empowerment OR Patient Centric) AND (Electronic Health Record). Blockchain is a recent technology in the medical sector. Therefore, our review includes articles from the year range 2018 to 28 June 2022. The total number of articles found based on the discussions above was 138, where PubMed included 11 articles and Google Scholar included 127. Fig. 1 illustrates how PRISMA was used to choose research articles. The number of articles initially found was 138.10 articles were omitted because the full texts weren't available. Thesis (n = 17), book (n = 24), out of context (n = 31), incomplete articles (n = 11), and poor quality (n = 8) were additional exclusion criteria. For the writing of the final review, 35 articles were chosen.
The rest of the article will focus on answering the four RQs as discussed before. Firstly, we will identify and elaborate on the existing issues in the present EHR paradigm. Then we will discuss how blockchain works and different terms/concepts associated with blockchain might solve these problems from the context of patient empowerment (access, awareness and control). After that, we will discuss some practical applications using different technologies and techniques pertaining to blockchain from the context of patient empowerment. Later into the article, we will discuss about some of the probable negative outcomes of blockchain integration in the EHR system and possible ways to overcome them. Finally we will suggest a Blockchain Technology-entailed EHR paradigm considering the various aspects highlighted in the article that can be implemented across healthcare facilities.
3. Problems associated with present EHR (RQ1)
Although the application of EHR has brought about revolutionary changes in the healthcare facilities, there are still some limitations that are yet to be resolved. Some of those problems and their associated application fields with references have been listed out in Table 1 .
Table 1.
Problems in the present EHR paradigm.
A data breach might happen with any kind of digital information. It is more challenging to ensure data security and safety. Devastating circumstances can result from several data breach instances (Seh et al., 2020, p. 133)– (Biggest Healthcare Data Breaches Reported, 2022). Due to patient care and ongoing research needs, medical data is crucial. All medical establishments have databases that include sensitive patient data. Therefore, being sure of safety becomes particularly important. Data breaches are a possibility with the current EHR system. Emphasis should be given to maintaining both ease of data access and security aspect of its’ uses. However, Safety still cannot be guaranteed if data input mistakes and discrepancies occur.
Incorrect entries and poor data management lead to information silos. There will be major ramifications for the treatment process if one patient's data is mixed up with another's, or if some data is lost in the system (Otero et al., 2022)– (3 Consequences of Patient Matching, 2022). A unified system is of dire need to deal with these problems. Moreover, in terms of a broader application among different healthcare facilities, having identical or similar data input and interpretation methods has become a necessity. The lack of interoperability is evident as there isn't a single report template available for all healthcare facilities. Additionally, patient data is not theirs to possess, control, or have access to. Aside from the essential tasks related to healthcare, the EHR paradigm has certain limitations pertaining to financial management such as patient tracking, claim resolution, and so on. However, several aspects of blockchain technology can solve these problems and open the door to a resolution. In the next section, we will discuss different features of blockchain technology pertaining to the RQs of this article.
4. Blockchain technology
A blockchain is a shared distributed database or ledger between computer network nodes. It serves as an electronic database for storing data in digital form. There are various features of the blockchain technology that can be used from the context of patient empowerment in healthcare sector as shown in Fig. 3 .
Fig. 3.
Implementable features of Blockchain Technology in healthcare.
4.1. Digital ledger capability
Blockchain is a way of preserving data that makes it challenging or impossible to alter, corrupt, or influence system. A blockchain is a distributed ledger that replicates and shares transactions around the network of computers that comprise the blockchain. Each transaction in this ledger is approved by the owner's unique identifier, which validates the transaction and prevents manipulation. Consequently, the information contained in the digital ledger is very secure. With the use of the digital ledger capabilities, any patient, investigator, and other concerned person may go through a clear log of who received or utilized a certain dataset. To ensure the authenticity of authorization for a particular patient record, the majority of blockchain designs make these ledgers tamper-proof. Secure patient data might be utilized as the foundation for micropayments to reward and incentivize data sharing at the patient level. Blockchain technology can assist in safely tracking all patient data. Only with the patient's agreement is it possible to access specific patient data. Therefore, the patient may be entitled to financial remuneration for allowing others to utilize his medical record if research is being done utilizing the patient's data. For instance, a medical research institution may wish to use patient information as the data source for a machine learning model. For the purpose of purchasing or accessing the data collection, the organization must pay a specified sum. In such a scenario, the blockchain ledger allows for digital bookkeeping and income pooling, with participants granting access to each case-level component, person, and organization. A blockchain ledger can provide the same functionality for a data item as a Genetic marker does in a bioanalytic assessment for carrying information. In the nonfungible token market, this serves as the foundation for blockchain technology (Silva et al., 2022, p. 713). In essence, the digital ledger capabilities of blockchain enables patients to get frequent updates about their health information, encourages and incentivizes data exchange, and facilitates the secure monitoring of all patient data.
4.2. Distributed structure
There is no one breakdown point that can access vast quantities of healthcare data owing to the distributed structure of blockchain. Furthermore, rather than being stored on a single server in a single place, the underlying data are frequently safely spread among numerous storage sites. Depending on the size and field of application, this function can lower the assumed and continuing costs associated with clinical data exchange, possession, or control in interdisciplinary projects. A distributed web of highly documented healthcare information with metadata indicating authenticity, regulatory assessment, and detailed permission are also easily transferable. Larger datasets may be mined more easily thanks to blockchain's distributed nature.
4.3. Smart contracts
‘Smart contracts’ or ‘Governance Features’ are blockchain-based algorithms that execute when certain criteria are satisfied. They are often used to automate the implementation of an agreement so that all parties may be confident of the conclusion right away, without the need for an intermediary or additional delay. They can also automate a process such that when circumstances are satisfied, the following action is executed. A patient or any professional medical industry using a portable device may be able to grant or refuse accessibility to a registry resource owing to the smart contracting features of blockchain. A user interface can be created to use and apply any number of data governance and annotation capabilities, whether they are directed toward patients, healthcare providers, administrators, or any combination thereof. Similar to a click-through licensing for a piece of software or a downloaded app, this enables any stakeholder to increase or decrease consent with the simplicity of a mobile app. By parallelizing the roles of intermediaries and digitizing the numerous administrative workflows connected to institutional consensus-building, smart contracts can also reduce transaction costs while giving supervisory, altruistic, and organizational decision makers prompt and precise authority over source documents (Silva et al., 2022, p. 713). Data validation is a key aspect to the entire process. Data validation on a chain is governed by the consensus mechanism of a blockchain. Various blockchains use various consensus techniques to verify transactions, such as, proof of work, proof of stake, Practical Byzantine Fault Tolerance, Simplified Byzantine Fault Tolerance, Proof of Capacity, Proof of Authority, Proof of Elapsed Time, Directed Acyclic Graphs (DAGs), Proof of Burn etc. (Sankar et al., 2017), (Kaur et al., 2021).
A private blockchain's smart contract feature can enable stakeholders and user groups to dynamically manage consent procedures for data usage. With the help of digital governance, all parties (suppliers, researchers, and administrators) are able to produce and distribute precise data in real time while maintaining individual control (Silva et al., 2022, p. 713). This approach is considerably more effective than finding a trustworthy middleman to carry out this activity at the bulk data level within the clinic or institutional administration. Blockchain-based governance technologies may be used to digitally enforce deidentification, giving privacy officials more authority and transparency while reducing the amount of human labor required to de-identify data. Furthermore, the governance and smart contract layers can make it feasible to provide individuals with direct control for the authorized uses of their health data, resulting in a workable, patient-centered pathway toward managing data.
4.4. Data monetization
Blockchain-based data monetization has the ability to safely liberate data as a kind of money and better match sharing incentives among stakeholders, including patients, healthcare systems, and businesses, with advantages that are significant to each stakeholder. Digital exchanges are used by blockchain-based data markets to transfer assets varying from computations to healthcare records. Since clients and organizational stakeholders such as compliance officials and security officers are actively involved in verifying the authenticity of research in near-real time, the commercialization of health data might disseminate control of genetic data and related information.
4.5. Immutability
Immutability is one of the characteristics that the blockchain is frequently linked to. Blockchain, by its very nature, is an immutable database; data that has already been entered into the blockchain cannot be changed. A block can be identified by its hash value, which is distinct. Each block has a distinct hash value that only serves to identify this particular block and is determined by the content of the block.
5. Blockchain technology in addressing existing EHR issues (RQ2)
Although EHR provides numerous benefits, there are still some deficiencies as described in section 3. This section elaborates on the many EHR-related challenges and describes how blockchain technology may handle them. The use of blockchain is capable of not only resolving several problems with the current EHR paradigm but also generating numerous potential to enhance the overall healthcare ecosystem.
5.1. Security and privacy/data leak
In the current age of technology, healthcare practitioners produce vast quantities of medical related data every day. EHR serves as a hospital's principal repository for medical data. EHR stores generated clinical data electronically. EHR data is utilized not just for the main treatment of patients, but also for secondary uses including as medical trials, continuous disease monitoring, and medical audits to improve quality. Privacy difficulties arise when EHR data are used for secondary purposes without authorization, or in certain circumstances even with agreement. In addition, EHR data is made available over wired or wireless networks to a variety of stakeholders, including multiple government organizations, at various geographical locations. Sharing EHR across many agencies makes it susceptible to breaches and makes it impossible to apply rigorous privacy standards, since in certain instances data is shared with organizations regulated by regional law. If delicate personal information included in EHR is released or disclosed to the public, the safety of people might be gravely compromised. Hence, data leaks and breaches pose a serious threat to any healthcare facility along with other issues in current EHR system as shown in Figr 4 . Based on the particular permissions and requirements that the patient sets, blockchain may make the entire facility safe. Cryptography is used to protect the records on a blockchain. Participants in the network each have a unique private key that is linked to the transactions they carry out and serves as a unique digital signature. The peer network will immediately be aware of any changes made to a record if the signature is altered, rendering it invalid. Moreover, recent research has revealed searchable blockchains that not only allow dependable search across encrypted distributed storage systems, but also guarantee the preservation of privacy (Jiang et al., 2019, pp. 405–410). Using verified computation with smart contracts can be another data security method (Avizheh et al., 2019)– (Maddali et al., 2020). Additionally, privacy-preserving homomorphic encryption algorithms may be applied in the blockchain-based EHR system (Jia et al., 2022)– (Wood et al., 2020).
Fig. 4.
Current EHR issues.
5.2. Information silos and lack of interoperability
Ineffective communication may lead to difficulties in EHRs, such as data repetition or incorrect information. With the use of blockchain technology, clinical trial consent may be gathered, stored, and tracked in a secure, unchangeable, and openly verifiable manner. Proof of Concept (PoC) is a technique used to determine the functionality and implementations of a project. PoC Development for a blockchain project enables a firm to test the blockchain solution before it is widely adopted; determine what challenges the project may encounter in the future; avoid wasting resources and time (Satamraju & Malarkodi, 2020, p. 1389), (Hylock & Zeng, 2019). With the use of PoC, consent for data entry can be time-stamped, resulting in data that cannot be disputed. The authentication system makes sure that patients can access and see the clinical study consent, and that stakeholders can track it down (Elangovan et al., 2022). The varied character of the information and the absence of standards in various EHR systems make data interoperability one of the major difficulties for health informatics. Database design and semantics problems are the two main categories of interoperability issues. Data models in the healthcare industry may deviate from typical organizational structures due to the large amount of expert information they include. As a result, healthcare companies must develop a common data structure that can be understood and utilized by non-healthcare businesses. By using blockchain technology to securely collect data from many institutions and combine it in a single file under the patient's control, a route to a solution may be established (Maher & Khan, 2022). Healthcare businesses should develop a smart contract or a professional digital dictionary for users that can be used to convert professional data into data that can be evaluated in order to solve semantics issues. Moreover, different current blockchain based data management systems can be considered (KumarS. and S., 2020)– (Jiang et al., 2018, pp. 49–56).
5.3. Incorrect/inconsistent data entry/lack of data integrity
Numerous options to communicate and transfer data with a short time lag are made possible by EHR. While having a large number of personnel with access to data input has its benefits, there is a considerable risk of unintentionally erroneous or inconsistent data entering (Zhuang et al., 2020). Doctors, hospital administrators, and report writers typically have access to patient data in the healthcare industry. Thus, maintaining data consistency and integrity becomes critical. Blockchain's immutability (Hofmann et al., 2017) feature can ensure data consistency (Zhuang et al., 2020). A blockchain powered by hyperledger fabric that uses smart contracts and unique data lakes for each healthcare provider might be a solution as it ensures that regardless of where the data is accessed from, any privacy or data sharing policies that have been set in place by patients or healthcare providers will stay constant. Furthermore, minimizing the use of a single rule controller in distributed networks and permitting network redundancy can aid in overcoming any brief connectivity outages. Enabling patients to update or enter data from their end has a big potential thanks to the rising patient-centric web and IoT applications. Patients' skills to enter and comprehend data, however, are a source of worry.
5.4. Lack in management and access control
The healthcare system's inputs, finances, and operation are all interrelated activities. A significant problem that may be solved by the integration of blockchain is the safe transfer of information from one department to another (Vinaykumar et al., 2019). A considerable amount of time now can be saved due to EHR as more automated digitized data entry has taken the place previously used manual hardcopy-based data entry. However, the difficulty of matching patients from other medical institutions is an issue that consumes a considerable amount of time. Blockchain can eliminate this issue by creating unique public/private key for each patient t is challenging to identify a certain patient across many healthcare institutions. The problem can be resolved using blockchain with and a single ID with a public/private key. Access control may result in people directly managing how their medical data is used. The distributed ledger, one aspect of blockchain technology, guarantees quick access to and recovery of digitized data (Elangovan et al., 2022).
6. Potential limitations of blockchain on current healthcare applications (RQ 3)
Blockchain networks do not have all the answers. Implementing a remote monitoring system, for instance, on a shared ledger would increase complexity and jeopardize continuous data collection. Medical professionals must be able to act on health data sets promptly once they are sent by medical devices to the cloud. The use of chains in healthcare is also subject to various non-technical restrictions. The cost of creating a decentralized app is expensive due to the scarcity and high demand for blockchain engineers. When required personnel are added and patient training is ensured, the cost of development rises over that of typical software development. One major issue is that providers frequently serve as the guardians of patient health data, but blockchain genuinely aims to put customers in charge by rewarding outside parties for developing solutions. The capacity to save, analyze, and share data across various places is provided by distributed information systems, which is a method of exchanging data across several systems in different site networks. Additionally, standardization is required so that other medical centers may acquire patient data for improved care coordination and continuity of treatment when using an EHR.
Several works have been done using the features of blockchain technology in the EHR paradigm. In (Dubovitskaya et al., 2020) the authors suggest a permissioned blockchain-based framework for integrating and exchanging EHR data. To create the blockchain network, each hospital will supply a node that is connected with its own EHR system. Patients and physicians will start EHR-sharing transactions via a web-based interface. They employ a hybrid approach to data management, storing just management metadata on the chain. On the other hand, actual EHR data will be encrypted and kept off-chain in cloud storage that complies with the Health Insurance Portability and Accountability Act. To protect shared EHR data, the system employs digital signatures and asymmetric encryption based on public key infrastructure. They created ACTION-EHR, a system for patient-centric, blockchain-based EHR data exchange and administration for patient care, namely radiation therapy for cancer. The Hyperledger Fabric permissioned blockchain framework, which is open-source, was used to build the prototype. Chaincode was utilized to create data sharing transactions, which were then exposed as representational state transfer APIs for the patient and user web site.
Additionally, a lot of work has been done using the blockchain's smart contract capability. A private Ethereum blockchain system with several smart-contract features is implemented in (Zhuang et al., 2020). Two modules are present in the system architecture: (1) the Link-age module: once the EHR is ready, a system administrator from each hospital will set up a touchpoint for every patient visit and input the pertinent primary data into a smart contract for future indexing. (2) The Request module: Patients provide doctors access to their data by adding doctors to the smart contract's “authorized list” of people who can access the data. After receiving access to the patient's information, clinicians can choose records through the touch points without disclosing the hospitals that are holding those documents. The blockchain technology will be used to send and receive decryption keys throughout the following data exchange amongst the concerned distant healthcare institutions.
Another similar work, in (Bowles et al., 2021), authors want to provide patients with the tools to share their medical information while maintaining control over who gets access to what parts of their data and for how long. The advantage for patients is in making it easier for them to comprehend who has access to what elements of their data and how they may regulate that access by expressly permitting or disallowing data access. They created a platform with three main elements—data tags, rules, and the blockchain—to do this. A group of preset keys known as tags have been chosen to serve as general labels for different data subsets that are accessible in the data lake. Element types like appointment, drug, procedure, gadget, and so forth are examples of potential keys. For the healthcare provider who defines the tags, the definitions are kept as JSON objects in the data lake. Rules specify how the data will be shared, whereas tags specify which data can be shared. Each rule explains who it applies to, what data it refers to, whether it should give or deny access to the professional(s), how long it should be in effect, and which tags it covers. Both patients and healthcare professionals can create rules. When it comes to which healthcare professionals have access to specific patient data and what they may view, smart contracts offer an access flag.
The difficulties in implementing various clinicogenomic registry features and blockchain features to overcome them were covered in (Silva et al., 2022, p. 713). Smart contracts and governance features can be used to offer patients choice over how their data is utilized in the future. Health systems and patients can be encouraged to exchange data by using monetization, smart contracts, and characteristics of digital ledgers. Governance layers and smart contracts may be able to reduce the transactional frictions associated with the exchange of health data. Smart contracts may also provide a solution to the problem of unauthorized use or duplication of fungible data. Additionally, smart contracts and digital ledger features can assist in removing the lack of granularity in bulk data when it comes to various compliance reports.
For various healthcare applications, including the administration of health records, health data analytics, audit trail, supply chain management, and medical research, an integrated Blockchain-Cloud (BcC) healthcare system is proposed (Ismail et al., 2021, p. 3753). There are several blockchain services already in existence that can help with that as mentioned in (Ismail et al., 2021, p. 3753). Azure Backend as a Service (BaaS) with integrated consortium management is a service that provides speedy network deployment and operations with support for smart contracts. Blockchain networks may be easily created with Amazon Managed Blockchain. The platform makes use of a voting API, which enables network users to decide whether to add or remove members. Using a Visual Studio code extension, IBM Blockchain Platform enables the development, testing, and deployment of blockchain applications with smart contract functionality. For the creation of smart contracts, the platform supports a variety of languages. With simple API connectivity, Google Blockchain makes it possible to develop blockchain apps. It enables the update/query of blockchain data using a conventional SQL database. The SAP Cloud Platform Blockchain Service enables the creation and deployment of blockchain applications from scratch, as well as the connection of external blockchain nodes to the cloud or to SAP's HANA, a robust memory data platform, to an external blockchain. With the incorporation of smart contracts, HPE Mission Critical Blockchain enables the construction of highly scalable and fault-tolerant blockchain applications. Blockchain solutions may be created and deployed quickly thanks to Alibaba Cloud BaaS, which is built on top of Alibaba's cloud container service for Kubernetes clusters. Blockchain solutions may be easily created, deployed, and managed thanks to Huawei Blockchain Service, which is built on Huawei containers. With functionality for multichain and smart contracts, Baidu BaaS makes the creation and deployment of blockchain applications simple.
Moreover, the rate of health record digitalization directly supports the viability of a blockchain solution. How rapidly patient records are transcribed, recorded, digitalized, and made accessible in EMRs directly impacts problems with a lack of flow across the health system, a lack of emphasis on the main health system, and network latency. In (Cadoret et al., 2020), authors suggested implementing blockchain in four stages for the management of health data in British Columbia. Phase 1. involves integrating blockchain technology into private clinics; Phase 2. integrating PharmaNet; Phase 3. integrating hospitals by creating a data warehouse; and Phase 4. extending to more hospital authorities in British Columbia.
Similarly, the goal of (Sadaiyandi, 2022) is to use blockchain technology to build a trustworthy and secure EMR knowledge sharing and management system. Blockchain features include a consensus mechanism, peer-to-peer communication, confidence-building without the need of a third party, and a transaction regulated by conditions and functions utilizing the intelligent contract methodology. The work (Sadaiyandi, 2022)demonstrated a web application that uses blockchain for functions like scheduling appointments, logging in as a receptionist, a doctor, a patient, or maintaining your medical history.
Several of the blockchain technology's potential applications are covered in (Durneva et al., 2020), including mobile informatics management systems, personal health records, mobile health, ubiquitous social networks, data preservation systems, health information exchange, remote patient monitoring, telemedicine, medical image sharing, clinical trial and research platforms, and predictive and classification modeling.
Based on all these potential applications of blockchain technology, the purpose of (Sung et al., 2020) was to investigate if patients could successfully confirm that their primary care clinical medical data were being monitored in a system based on blockchain technology. This research included 70 patients in total. The study was performed with an emphasis on topics including blockchain knowledge, understanding changes to medical records, digital literacy, and more. According to the study's findings, blockchain can promote patient empowerment by ensuring the openness of medical records.
In (Singh et al., 2022), authors looked into a number of blockchain-based healthcare data systems. The BurstIQ (Home, 2022) platform's job is to assist healthcare companies in securely and safely maintaining a record of information or data connected to patient medical records. They support HIPAA requirements by assisting with the licensing, sharing, and storage of data that can be utilized in an emergency. It improves the exchange and utilization of medical data by utilizing blockchain technology. Factom (Factom Blockchain Data Integrity, 2022) creates a group that allows the healthcare sector to securely keep documents digitally on the company's blockchain network, which is only accessible by hospitals and healthcare managers. The physical paper that contains the patient-related data that can only be saved and utilized by an authorized institution is furnished with special Factom security chips. Factom guarantees that blockchain technology is capable of securely preserving the patient's digital health record. To create a comprehensive ownership record, Tierion's (Tierion, 2022) blockchain checks information about accounts, prescriptions, and data. The company employs certificates and timestamps to guarantee the reliability of the medical supply chain. The company keeps a comprehensive record of ownership throughout medical supply chains by using blockchain technology.
Moreover, authors in (Maher & Khan, 2022) asserted that blockchain-based solutions like MedRec (Your Personal Electronic Health Record, 2022) can be executed as a separate module and incorporated with native data sources through application programming interfaces (APIs) without disrupting native data management systems and culture. This assertion is undoubtedly advantageous for the technology adaptation process. Additionally, because they are opensource, MedRec-like technologies may significantly contribute to the secure data gathering from current data management systems and the aggregation of an EHR under the patient's control. Patients may safely authorize access to various types and lengths of de-identified data using smart contract and IPFS/cloud storage systems.
With the help of Hyperledger, fresh ideas may be nurtured, supported by necessary resources, and the outcomes can be broadly disseminated, as explained in (Ciampi et al., 2021, pp. 29–67). With a modular design, Fabric's (Hyperledger Fabric – Hyperledger Foundation, 2022), (Androulaki et al., 2018) platform for creating distributed ledger solutions offers high levels of secrecy, flexibility, robustness, and scalability. A special-purpose distributed ledger called Indy (Hyperledger Indy – Hyperledger Foundation, 2022), (Leng et al., 2021)offers resources, libraries, and reusable parts for building and using independent digital identities that are based on distributed ledgers like blockchains. Iroha (Hyperledger Iroha – Hyperledger Foundation, 2022) is a simple to use, modular distributed blockchain technology that supports multiple signatures and has its own proprietary crash fault tolerance consensus and ordering service algorithms. With Sawtooth (Ampel et al., 2019, pp. 59–61), (Hyperledger Sawtooth – Hyperledger Foundation, 2022), the core system and application domain are separated by a flexible and modular architecture, allowing smart contracts to define the business rules for applications without being aware of the core system's internal structure. Practical Byzantine Fault Tolerance is one of the consensus techniques supported by Hyperledger Sawtooth (PBFT).
PICASO (Povilionis et al., 2018) facilitates cross-sector collaboration among caregivers, enabling care to be provided from the clinical setting to the patient's private home. Electronic health records (EHR) are sourced from and given to PICASO through operational data stores, which are part of the Care System Clouds that make up the PICASO Infrastructure (ODS). Hospitals, nursing facilities, general practitioners, etc. are possible data suppliers. DIVA is in charge of providing access tokens and securing, policy-based access control to services and data in cloud infrastructures. Patients are given secure tablet devices to access their data and PICASO services, while clinicians are only permitted access from established secure places.
We can systematically identify several issues related to the deployment of blockchain based on the discussions from Table 2 . Table 3 provides an overview.
Table 2.
Present blockchain applications in healthcare ecosystem.
| References | Application Field | Involved Blockchain Related Technology | Features |
|---|---|---|---|
| Amend et al. (2022) | EHR based Data Management for Cancer Care | HIPAA-compliant cloud storage, web app, Blockchain node, key sharing mechanism |
|
| bin Ahmad et al. (2022) | Health information exchange | Smart Contract |
|
| Abul-Husn and Kenny (2019) | Personalized Data Sharing | Blockchain Access Rules |
|
| Sung et al. (2020) | Integrated Blockchain-Cloud (BcC) Architecture for Healthcare | Cloud Computing, Hashing, Transactions Blocks, Smart contracts |
|
| Elangovan et al. (2022) | Health Care Data Management | Zero-knowledge proof |
|
| Shi et al. (2020) | Mobile App for Monitoring Medical Record | Key, Value, Hash |
|
| Oh et al. (2022) | Registry to Engage Underrepresented Populations | N/A |
|
| Page et al. (2021a) | Patient Engagement and empowerment | Smart Contract |
|
| Page et al. (2021a) | Provider's information access and use | Blockchain-based IoT technology |
|
| Page et al. (2021a) | Research | Consent algorithms, Predictive modeling, cloud- based health resource sharing |
|
| Bowles et al. (2021) | EMR knowledge management and sharing system | Ethereum |
|
| Durneva et al. (2020) | efficient data management |
|
|
| Gunturu et al. (2022) | Smart Decentralization of Personal Health Records | Ethereum, Distributed ledger, Apps |
|
| Bergier et al. (2021) | Digital health data marketplace | AI, smart contract |
|
| Page et al. (2021b) | Personal Health Records | Private/Public Blockchain, Smart Contracts |
|
| Kuo et al. (2017) | Modernizing Healthcare | Distributed Ledger, Hyperledger |
|
| Seh et al. (2020) | Personal health record | AI, blockchain nodes |
|
| Maher and Khan (2022) | Patient, organization, data management, drug traceability, clinical trials, precision medicine | Distributed ledger, Decentralization, Cryptographic sealing, Digitalization |
|
| Akinyemi et al. (2022) | Security and Privacy of EHR in Healthcare | ECC algorithm, DNA chaos blend, matrix product, watermarking, AES algorithm, DNA cryptography, SHA-2, Decoy Technique, Huffman encoding strategy |
|
| Holtfreter and Harrington (2015) | Privacy control | N/A |
|
| Sadaiyandi (2022) | Identity management, access control and privacy in integrated care platforms | N/A |
|
| Healthcare breaches on the rise (2022) | Clinical practice in gastroenterology | N/A |
|
| Biggest Healthcare Data Breaches Reported (2022) | MIoT-Based Big Data Analytics in Telemedicine | N/A |
|
| Otero et al. (2022) | Prediction using big data | Distributed EHR |
|
Table 3.
Challenges with the integration of blockchain.
| Problems | Application Field | Reference |
|---|---|---|
| Excess volume of data | EHR based Data Management for Cancer Care/Personal Health Records | (Dubovitskaya et al., 2020) (Singh et al., 2022) (Fang et al., 2021) (Amend et al., 2022) |
| Lack of data storage facilities | Personal Health Records | (Dubovitskaya et al., 2020) (Singh et al., 2022) (Fang et al., 2021) (Amend et al., 2022) |
| Delay in high scale operations | Health information exchange | (Zhuang et al., 2020) (Sadaiyandi, 2022) (Alzahrani et al., 2022) |
| Hindrance in Scalability | Across multiple healthcare facilities | Ismail et al. (2021) |
| Lack of access control | EHR | (Elangovan et al., 2022) (Silva et al., 2022, p. 713) (Durneva et al., 2020) (Sadaiyandi, 2022) (Kakkar & Johri, 2021) (Amend et al., 2022) (Convergence of eco, 2022) (Abdulhameed et al., 1979) (Cordeiro, 2021) |
| Lack of Social Acceptance | EHR, EMR | (Singh et al., 2022) (Maher & Khan, 2022) (Gunturu et al., 2022) (Cordeiro, 2021) |
| Lack of Financial Management | Management of the EHR Systems | (Alzahrani et al., 2022) (Gunturu et al., 2022) |
| Lack in management | EHR | Amend et al. (2022) |
| High energy consumption | Healthcare and Blockchain | Gunturu et al. (2022) |
| Lack of technical skills | Healthcare and Blockchain | Gunturu et al. (2022) |
| Installation and transaction cost | Healthcare and Blockchain | Gunturu et al. (2022) |
| Implementation challenge | Organizational commitment, Interoperability, internal governance and standardization, data security and integrity, truth and immutability | Yeung (2021) |
6.1. Excess volume of data, delay in high scale operations
Whenever there is any new information that needs to be added in blockchain, a new block is created to accommodate that information. If everyone wants to keep a complete functional copy, it must also be added to the hard drives of every network member. As decentralization is at the core of blockchain, there is no single authority over the control of data. However, it necessitates having separate storages for each distributed network node. Hence, the volume of data and data storage becomes an issue. Each data transaction and validation procedure take too long when a database is too big.
6.2. Hindrance in scalability, high cost
A lengthy blockchain might provide difficulties for a company as it struggles with scalability. There are a number of variables at work here. In order to authenticate transactions and maintain accurate records for the blockchain, each computer on the network must first store data starting from the genesis block to the most recent block. These nodes (computers) must have the ability to store that information. The redundancy makes the system safer, but as the network and blockchain expand, it also becomes less effective. The node that confirms the transactions must then broadcast the new block to every other node on the network when adding a new block to the blockchain. The transactions may then be confirmed, and the block can then be added to the blockchain. As the network expands, this can consume a significant amount of network resources. The scaling problem can result in nodes charging higher transaction fees to process transactions on the blockchain in large public blockchains like Bitcoin and Ethereum.
6.3. High energy consumption
Blockchains that utilize a proof-of-work algorithm to choose which node has the privilege of confirming the following block in the chain might take a lot of energy. The proof-of-work model involves nodes competing to answer a challenging equation. An increase in competitors and competition for computer resources as the network grows consumes energy. The energy expenditure is highly inefficient because ultimately only one node will be allowed to confirm the next block. The proof-of-stake strategy is marketed as a fix for the blockchains' energy use problem. However, such a system encounters challenges on its own. One factor is that far more complex code is needed for a good proof-of-stake system than for a proof-of-work system. That may lead to more weaknesses and vulnerabilities. A majority of the staked bitcoin may be simpler to seize by one party, giving that party too much power over the blockchain. In a proof-of-work approach, the latter vulnerability is less plausible since a single entity would have to amass the bulk of the network's computing power. Other parties might acquire more computing power to seize control and guarantee that the blockchain stays decentralized.
6.4. Lack of social acceptance
A significant element is stakeholders' understanding of and adoption of blockchain in the EHR-based healthcare paradigm. Understanding the blockchain's potential advantages and disadvantages requires the patient's participation, awareness, and acceptance of the technology (Abu-elezz et al., 2020). The social acceptability of blockchain technology was one of the major obstacle to the deployment of different blockchain based work (Tanwar et al., 2020)– (Shahnaz and QamarA., 2023). The decentralization of health information and the absence of a reliable third party make it challenging for regulatory systems to provide access, despite reasonable privacy concerns (V. P.-H. informatics journal and undefined, 2019)– (ChenX., 2018). In certain instances, the absence of governance standards and norms impeded the deployment of blockchain technology in healthcare (Gökalp et al., 2018, pp. 174–183), (Cao et al., 2019b).
6.5. Implementation challenge
Almost every blockchain technology deployment is distinct. For companies and developers working on multiple applications, this poses a few difficulties. It makes blockchain interoperability challenging. It is anticipated that additional mechanisms will need to be developed to enable data to flow between the two blockchains if one healthcare institution wants to exchange data with another facility's blockchain. When programmers construct something on a blockchain, a new issue arises. A developer will have to completely redesign everything to provide the same product on another blockchain since there are no global standards. As developers choose less well-known platforms, the lack of standards might expose code vulnerabilities.
Fig. 4 summarizes the existing limitations of blockchain on current healthcare applications.
We're going to propose a blockchain technology-based application in EHR in the context of patient empowerment in the part after this, taking in mind the results of RQ3.
7. Approach and framework for adopting blockchain (RQ4)
Based on the discussions of the previous section, the strongest use case for blockchain in healthcare, is a private distributed EHR (integration) with strong cryptography and safe cloud data management architecture. However, before any significant advancements in state-level public health, blockchain technology and healthcare still have a long way to go. Hence, determining whether or not a healthcare institution genuinely need the integration of blockchain is vital. Here are some criteria for testing it: 1. Multiple transactions from different sources should happen at the same time on a shared ledger (patients, medical facilities etc.). 2. Direct benefits are being received by patients. 3. Automation plays a crucial role, and minimizing or eliminating intermediaries is desired.
The next step is to comprehend the constraints of current blockchain applications in healthcare and develop methodically resolving each issue. We are aware that public blockchain (permissionless networks) are infamously sluggish thanks to our past conversations. Because scalability is being hampered by the constant growth of data, it will continue to slow down. Building private blockchains can fix this, but the basic benefit of having everyone on the same decentralized chain rapidly vanishes. One can choose a more recent chain that has fewer users but a better block throughput as an alternative. On a chain, each transaction carries a price. This problem can also be resolved by a private blockchain since we can set the cost of transactions to zero.
Creating a private blockchain-based EHR solution is a strategy that will need authorization from all new users before they can begin conducting transactions on the platform. Additionally, blockchain must be designed so that network nodes only keep on-chain meta-data. Regarding patient health information, it must be kept in a secure cloud that is connected to the blockchain ledger. As a result, EHR activities will go much more quickly. As a result, while developing an EHR solution utilizing blockchain, APIs will be used to combine blockchain with trusted cloud technologies like Amazon Web Services. It will be feasible to integrate with off-chain data sources in this manner.
However, these integrations and related IoT security must be handled independently. International consumers must be served while adhering to the General Data Protection Regulation (GDPR) (General Data Protection Regulation, 2022) and EU Medical Device Regulations (The European Union Medical Device, 2017). As patients can very well become a chain-based system's weakest link, they need to be taught on security best practices. However, by employing ransomware, social engineering, DDoS assaults, and other methods, hackers can still take advantage of weaknesses in centralized systems linked to blockchain. Fortunately, there isn't a single point of failure in the system. Additionally, running a cloud-based PaaS (Yasrab, 2018) system requires maintaining redundant nodes across availability zones.
Connecting patients with medical providers using a mobile app is one potential patient-centric way forward. Patients will use a unique coin to pay for the chain's storage of their data. Patients must spend virtual money to record transactions, after which doctors and patients can encrypt and decrypt data using the underlying blockchain technology. Doctors will also have an interconnected web interface to view permission based patient data and history.
The next greatest thing distributed ledger technology can accomplish for healthcare is to support the efforts to confirm the provenance of medicines and ensure the utilization of safe, reliable medications from legitimate pharmaceutical manufacturers. Every year, fake pharmaceuticals cost the pharmaceutical business billions of dollars (Economic loss through counterfeit drugs, 2020)– (Valverde, 2012). So having a decentralized system with automatically trackable medicine and assets across the supply chain where it's practically impossible to fake a drug undoubtedly adds commercial value. Equal access to the ledger from a single source of truth for all parties is what makes blockchain so powerful in terms of patient empowerment. Delivering actual drugs to actual patients can be made possible by using blockchain technology as the back end for mobile applications. It is possible to handle data in real-time and verify personnel credentials, among other things. To improve medication monitoring, blockchain can power apps that make use of barcode and RFID technologies.
A decentralized platform like blockchain can be used to focus on research medical institutions while patients can retain ultimate control over their data. Emphasis can be given on enabling remote clinical research with a mobile app on a decentralized ledger. An app set up with multi-omics modules to collect data with built-in AI capabilities can provide advanced analytics on incoming patient data. Smart contracts are the perfect way to obtain informed patient consent for clinical trial participation because of their autonomy. Smart contracts frequently use fairly simple if-then logic and can initiate another contract or carry out a transaction automatically when certain conditions are satisfied. This ground-breaking technology is really obtaining a patient's permission and making it accessible to a wide range of cooperating researchers. The immutability of shared data upholds consent validity. Additionally, the blockchain technology's potential for the crypto-economy practically demands the creation of a market for the exchange of patient data and even bio-samples to advance medical research and enable countrywide interoperability for healthcare providers.
Blockchain can help with claim processing, one of the most time-consuming processes in the healthcare sector for both patients and the administration. By keeping track of all financial transactions in a longitudinal, visible, and unchanging record, a shared ledger safeguards all trades. Additionally, real-time claim status monitoring is available to payers and providers. The best tool for implementing claim adjudication on a blockchain is smart contracts. One strategy may be to use specialized oracles to link smart contracts to real-world situations or to use an API to link them to a central repository. Smart contracts on the chain may handle returns, credits, and resubmissions while keeping the original chargeback and billing in place.
Automating and simplifying communications between patients, clinicians, and health insurance firms may help to tackle the interoperability problem. The provision of building blocks and modular alternatives should be prioritized in order to move the whole spectrum of medical procedures on the blockchain. Prescriptions, reimbursements, invoicing, transactions, patient registration, and many more related disciplines may be consolidated under a single blockchain.
Blockchain implementation in healthcare will always contain a back-end component. Medical blockchain technology can take multiple forms and manifest through various applications: online, mobile, desktop, etc. It goes without saying that this includes the blockchain itself, self-monitoring smart contracts, and extra server databases and APIs. A program that is used by customers, whether on the web, a mobile device, or both, is referred to as a front-end component. A cryptocurrency wallet would also be a part of the front end, and it would produce a private key to lock off access to the wallet to just the intended user. Users can communicate with one another on the chain thanks to the public key as well. The essence of anonymity on the chain is comprised of the public and private keys. It is essential to completely comprehend the technical side of blockchain in order to create and develop a solution that fully exploits all of its advantages in the healthcare industry.
Utilizing one of the open-source blockchain projects might be a possibility for building the foundation of a healthcare blockchain system. Hyperledger, which was previously covered in prior parts of this article, has been one of the most well-known players in this space. Copying an existing open-source blockchain, such as Ethereum, making the required adjustments, deploying it to nodes, and launching a private network based on Ethereum are options. However, a far more sophisticated system may be developed utilizing the Hyperledger toolkit. As mentioned in earlier sections, further Hyperledger options include IPFS, Corda, IBM Blockchain Platform, BigChainDB, and others. Finally, there is always the potential to create a brand-new blockchain protocol tailored specifically for a certain purpose.
Any blockchain solution should undergo a thorough quality-assurance procedure relative to its attributes and setup. It is important to think about issues like transaction throughput and traffic shaping (the capacity to maintain quality regardless of the number of users). Using instruments like Infura (Ethereum API IPFS API, 2022), (Panda & Satapathy, 2021) can speed up the deployment of a blockchain-based business healthcare system. A healthcare decentralized app must also be connected to other legacy systems using an Oracle. When the onus of trust is placed on a peer-to-peer connection and each community member must get authorization prior viewing the service, on-premises deployments as opposed to cloud deployment options are usual for a consortium arrangement.
Healthcare businesses may use blockchain to store shared patient information and preserve a single version of the truth with the aid of new services like Medicalchain (Home, 2022). For the purpose of completing their tasks and adding transactions to the distributed ledger, participants ask for permission to view a patient's file. One of the blockchain healthcare firms, PokitDok (Ge, 2021), is developing a platform for the exchange of interoperable healthcare transactions. Eligibility checks, claim submissions, appointment scheduling, payment optimization, patient privacy identity management, pharmaceutical benefits, and other processes are made possible by its blockchain-powered software. Pharmaceutical companies, payers, and hospitals may use services like HealthVerity (HealthVerity, 2022) to find, license, and integrate patient data from a variety of data sources to generate the best patient dataset for dispersed health. Blockchain technology can improve transparency in the medical sector by enabling ledger-based product features, advanced identification resolution, and matching capabilities.
Based on the discussions of this section, Fig. 6 shows a proposed framework for the adoption of blockchain technology in healthcare facilities.
Fig. 6.
Proposed Framework for adopting blockchain in Healthcare Facilities.
The suggested framework in Fig. 5 has been developed with consideration for both the benefits and drawbacks of patients and healthcare institutions. The integration of blockchain for patient empowerment and ease of operation from a managerial point of view is considered. There are 5 core boxes to the entire structure colored sequentially in blue (1), green (2), yellow (3), brown (4), and black (5). 1. Patient.
-
2.
Healthcare facility stakeholder
-
3.
Third-party service
-
4.
External Healthcare Facility
-
5.
Blockchain integration
Fig. 5.
Limitations of blockchain in healthcare applications.
1,2,3 and 4 are all individually and separately connected with 5. This ensures the integration of blockchain in every phase.
In blue colored box 1, we see how patients are connected with 3 and 5. Each patient with his unique ID will have access to a mobile app with features as shown in Fig. 5. The data can directly go to 5, where there will be smart contracts set in place to empower patients focusing specifically on permission and access control of data. The data can also go to 3, where any third-party service providers might collaborate with healthcare facilities to get data for research and analysis. There will be layers of smart contracts here to determine how and to what extent the data will be accessed. The third-party organizations, with the necessary data, might generate value-added services for the patients or the healthcare facilities.
The green-colored box 2, emphasizes the within-facility stakeholders. There will be a web application through which they will be linked with the blockchain system (5). Smart contracts and permission rules are present here as well. Box 3, shows how integrated IOT devices or other third-party services might be integrated with the existing healthcare facility. Box 4, shows the interconnection across multiple healthcare facilities. Healthcare facility 1 will have two separate sets of smart contracts. One is dedicated to within-facility connections (1 + 2+3) and another will be dedicated to across-facility connections. Smart contracts and permissions will be set in a way that ensures a similar way of data representation across facilities. Finally, box 5 shows the blockchain integration, which is interconnected to all other boxes. A private blockchain is applied for its’ advantages as discussed earlier in this section. Sets of smart contracts and rules are present both within and across healthcare facilities. All the data finally gets stored in the cloud storage.
There are several obvious benefits of the proposed approach. Primarily, the security of the whole system will be enhanced by integrating blockchain technology into the heart of all interdependent sectors. As each data transaction is validated at each level based on the smart contracts, the possibility of information silos is avoided. Patients will be in command of their own data, giving them more accessibility. Additionally, security will be assured even while working with many third-party service providers. Furthermore, several healthcare facilities can be linked without interoperability issues.
8. Conclusion
The article unravels the potential use cases, implementation approach, and framework of blockchain in healthcare facilities from the context of patient empowerment. Although blockchain has its' advantages, it's necessary to test out if a healthcare facility needs the integration of blockchain or not. An approach towards implementation can be done using different features of blockchain as discussed in RQ4. However, there is still room for future work. The study does not cover the in-between steps of how smart contracts work. Additionally, the sequence of permission authority, specific layers of smart contracts, control authority, and governance rules across multiple healthcare facilities can be future work recommendations.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Data availability
Data will be made available on request.
References
- 3 Consequences of patient matching, health record issues. 2022. https://ehrintelligence.com/news/3-consequences-of-patient-matching-health-record-issues accessed Nov. 01. [Google Scholar]
- Abdulhameed I.S., Al-Mejibli I., Naif J.R. The security and privacy of electronic health records in healthcare systems: A systematic review. Turkish Journal of Computer and Mathematics Education (TURCOMAT) 1979;12(10) doi: 10.17762/TURCOMAT.V12I10.4701. 1992, Apr. 2021. [DOI] [Google Scholar]
- Abu-elezz I., Hassan A., Nazeemudeen A., Househ M., Abd-alrazaq A. The benefits and threats of blockchain technology in healthcare: A scoping review. The Internet Journal of Medical Informatics. 2020;142 doi: 10.1016/J.IJMEDINF.2020.104246. Oct. [DOI] [PubMed] [Google Scholar]
- Abul-Husn N.S., Kenny E.E. Personalized medicine and the power of electronic health records. Cell. 2019;177(1):58–69. doi: 10.1016/J.CELL.2019.02.039. Mar. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Adoption of electronic health record systems among U.S. Non-federal acute care hospitals: 2008-2015 HealthIT.gov. https://www.healthit.gov/data/data-briefs/adoption-electronic-health-record-systems-among-us-non-federal-acute-care-1
- Agner J., Braun K.L. Patient empowerment: A critique of individualism and systematic review of patient perspectives. Patient Education and Counseling. 2018;101(12):2054–2064. doi: 10.1016/J.PEC.2018.07.026. Dec. [DOI] [PubMed] [Google Scholar]
- bin Ahmad K.A., Khujamatov H., Akhmedov N., Bajuri M.Y., Ahmad M.N., Ahmadian A. Emerging trends and evolutions for smart city healthcare systems. Sustainable Cities and Society. 2022;80 doi: 10.1016/J.SCS.2022.103695. May. [DOI] [Google Scholar]
- Akinyemi O.R., Sibiya M.N., Oladimeji O., Akinyemi O. Communication model enhancement using electronic health record standard for tertiary hospital. SA Journal of Information Management. 2022;24(1) doi: 10.4102/SAJIM.V24I1.1472. Apr. [DOI] [Google Scholar]
- Alzahrani S., Daim T., Choo K.K.R. Assessment of the blockchain technology adoption for the management of the electronic health record systems. IEEE Transactions on Engineering Management. 2022 doi: 10.1109/TEM.2022.3158185. [DOI] [Google Scholar]
- Amend J., Eymann T., Kauffmann A., Münch T., Troglauer P. 2022. Deriving facilitators for electronic health record implementation: A systematic literature review of opportunities and challenges,” ECIS 2022 research papers.https://aisel.aisnet.org/ecis2022_rp/81 Jun. Accessed: Jul. 04, 2022. [Online]. Available: [Google Scholar]
- Ampel B., Patton M., Chen H. IEEE International Conference on Intelligence and Security Informatics; 2019. Performance modeling of hyperledger sawtooth blockchain; pp. 59–61. ISI 2019. Jul. 2019. [DOI] [Google Scholar]
- Androulaki E., et al. Hyperledger fabric: A distributed operating system for permissioned blockchains. Proceedings of the 13th EuroSys Conference, EuroSys. 2018;2018(2018) doi: 10.1145/3190508.3190538. January, Apr. [DOI] [Google Scholar]
- Avizheh S., Nabi M., Safavi-Naini R., Muni Venkateswarlu K. Verifiable computation using smart contracts. Proceedings of the ACM Conference on Computer and Communications Security. 2019:17–28. doi: 10.1145/3338466.3358925. Nov. [DOI] [Google Scholar]
- Bergier H., et al. Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand? Autoimmunity Reviews. 2021;20(8) doi: 10.1016/J.AUTREV.2021.102864. Aug. [DOI] [PubMed] [Google Scholar]
- Biggest healthcare data breaches reported this year. So Far; 2022. https://healthitsecurity.com/features/biggest-healthcare-data-breaches-reported-this-year-so-far (accessed Nov. 01. [Google Scholar]
- Birkhead G.S., Klompas M., Shah N.R. Uses of electronic health records for public health surveillance to advance public health. Annual Review of Public Health. 2015;36:345–359. doi: 10.1146/ANNUREV-PUBLHEALTH-031914-122747. Mar. [DOI] [PubMed] [Google Scholar]
- Blockchain: Opportunities for health care Deloitte US.” https://www2.deloitte.com/us/en/pages/public-sector/articles/blockchain-opportunities-for-health-care.html (accessed August 13, 2022).
- Bowles J., Webber T., Blackledge E., Vermeulen A. A blockchain-based healthcare platform for secure personalised data sharing. Public Health and Informatics: Proceedings of MIE. 2021:208–212. doi: 10.3233/SHTI210150. Jul. 2021. [DOI] [PubMed] [Google Scholar]
- Cadoret D., Kailas T., Velmovitsky P., Morita P., Igboeli O. Proposed implementation of blockchain in British columbia's health care data management. Journal of Medical Internet Research. 2020;22(10) doi: 10.2196/20897. https://www.jmir.org/2020/10/e20897 vol. 22, no. 10, p. e20897, Oct. 2020, doi: 10.2196/20897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cao S., Zhang G., Liu P., Zhang X., Neri F. Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain. Informing Science. 2019;485:427–440. doi: 10.1016/J.INS.2019.02.038. Jun. [DOI] [Google Scholar]
- Cao S., Zhang G., Liu P., Zhang X., Sciences F.N.-I., undefined . Elsevier; 2019. Cloud-assisted secure eHealth systems for tamper-proofing EHR via blockchain.https://www.sciencedirect.com/science/article/pii/S0020025519301471 Accessed: Jan. 12, 2023. [Online]. Available: [Google Scholar]
- Cerchione R., Centobelli P., Riccio E., Abbate S., Oropallo E. Blockchain's coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem. Technovation. 2022 doi: 10.1016/J.TECHNOVATION.2022.102480. Feb. [DOI] [Google Scholar]
- Chen C., Lee P.-I., Pain K.J., Delgado D., Cole C.L., Campion T.R., Jr. Replacing paper informed consent with electronic informed consent for research in academic medical centers: A scoping review. AMIA Summits on Translational Science Proceedings. 2020;2020:80. pmc/articles/PMC7233043 Accessed: Jul. 23, 2022. [Online]. Available: [PMC free article] [PubMed] [Google Scholar]
- Chen H., X H.-E. Pharmacology and toxicology, and undefined. Will blockchain technology transform healthcare and biomedical sciences? 2018 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711478/ ,ncbi.nlm.nih.gov Accessed: Jan. 12, 2023. [Online]. Available: [PMC free article] [PubMed] [Google Scholar]
- Cho M., et al. Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears. The Internet Journal of Medical Informatics. 2020;133 doi: 10.1016/J.IJMEDINF.2019.104015. Jan. [DOI] [PubMed] [Google Scholar]
- Ciampi M., Esposito A., Marangio F., Sicuranza M., Schmid G. 2021. Modernizing healthcare by using blockchain; pp. 29–67. [DOI] [Google Scholar]
- Convergence of eco-system technologies : Potential for hybrid electronic health record (EHR) systems combining distributed ledgers and the internet of medical things towards delivering value-based healthcare. 2022. https://dspace.mit.edu/handle/1721.1/118548 accessed Jul. 04.
- Cordeiro J.v. Digital technologies and data science as health enablers: An outline of appealing promises and compelling ethical, legal, and social challenges. Frontiers of Medicine. 2021;8(Jul) doi: 10.3389/FMED.2021.647897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dubovitskaya A., et al. ACTION-EHR: Patient-Centric blockchain-based electronic health record data management for cancer care. Journal of Medical Internet Research. 2020;22(8) doi: 10.2196/13598. https://www.jmir.org/2020/8/e13598 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Durneva P., Cousins K., Chen M. The current state of research, challenges, and future research directions of blockchain technology in patient care: Systematic review. Journal of Medical Internet Research. 2020;22(7) doi: 10.2196/18619. 2020/7/e18619, vol. 22, no. 7, p. e18619, Jul. 2020, doi: 10.2196/18619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Economic loss through counterfeit drugs by scenario U.S. 2020 Statista. https://www.statista.com/statistics/1181283/us-cost-due-to-counterfeit-drugs-by-scenario/ accessed.
- Elangovan D., et al. The use of blockchain technology in the health care sector: Systematic review. JMIR Med Inform. 2022;10(1) doi: 10.2196/17278. 2022/1/e17278, vol. 10, no. 1, p. e17278, Jan. 2022, [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ethereum API IPFS API & gateway ETH nodes as a service. https://infura.io/
- The European union medical device regulation – regulation (EU) 2017/745 (EU MDR) https://eumdr.com/
- Factom blockchain data integrity. https://www.factomprotocol.org/ accessed.
- Fang H.S.A., Tan T.H., Tan Y.F.C., Tan C.J.M. Blockchain personal health records: Systematic review. Journal of Medical Internet Research. 2021;23(4) doi: 10.2196/25094. 2021/4/e25094, vol. 23, no. 4, p. e25094, Apr. 2021, doi: 10.2196/25094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gamal A., Barakat S., Rezk A. Standardized electronic health record data modeling and persistence: A comparative review. Journal of Biomedical Informatics. 2021;114 doi: 10.1016/J.JBI.2020.103670. Feb. [DOI] [PubMed] [Google Scholar]
- Ge X. Smart payment contract mechanism based on blockchain smart contract mechanism. Scientific Programming. 2021;2021 doi: 10.1155/2021/3988070. [DOI] [Google Scholar]
- General data protection regulation (GDPR) definition and meaning. 2022. https://www.investopedia.com/terms/g/general-data-protection-regulation-gdpr.asp Oct. 18.
- Ghafur S., van Dael J., Leis M., Darzi A., Sheikh A. Public perceptions on data sharing: Key insights from the UK and the USA. Lancet Digit Health. 2020;2(9):e444–e446. doi: 10.1016/S2589-7500(20)30161-8. Sep. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gökalp E., Gökalp M., Çoban S., P. E.-E. on systems, and undefined . Vol. 333. Springer; 2018. Analysing opportunities and challenges of integrated blockchain technologies in healthcare; pp. 174–183. on systems, and undefined. 2018. [DOI] [Google Scholar]
- Gunturu L.N., Dornadula G., Nimbagal R.N. 2022. Blockchain technology: A breakthrough in the healthcare sector,” transformations through blockchain technology; pp. 137–160. [DOI] [Google Scholar]
- Healthcare breaches on the rise in 2022. 2022. https://www.techtarget.com/searchsecurity/news/252521771/Healthcare-breaches-on-the-rise accessed Nov. 01. [Google Scholar]
- HealthVerity - largest healthcare data ecosystem. https://healthverity.com/ accessed.
- Hofmann F., Wurster S., Ron E., Böhmecke-Schwafert M. The immutability concept of blockchains and benefits of early standardization. Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017. 2017;2018:1–8. doi: 10.23919/ITU-WT.2017.8247004. January. Jun. [DOI] [Google Scholar]
- Holtfreter R.E., Harrington A. Data breach trends in the United States. Journal of Financial Crime. 2015;22(2):242–260. doi: 10.1108/JFC-09-2013-0055/FULL/XML. May. [DOI] [Google Scholar]
- Home - BurstIQ human digital experiences from BurstIQ. https://burstiq.com/ accessed.
- Hylock R.H., Zeng X. A blockchain framework for patient-centered health records and exchange (HealthChain): Evaluation and proof-of-concept study. Journal of Medical Internet Research. 2019;21(8) doi: 10.2196/13592. https://www.jmir.org/2019/8/e13592, vol. 21, no. 8, p. e13592, Aug. 2019, doi: 10.2196/13592 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hyperledger Fabric – Hyperledger Foundation https://www.hyperledger.org/use/fabric accessed.
- Hyperledger Indy – Hyperledger Foundation https://www.hyperledger.org/use/hyperledger-indy accessed.
- Hyperledger Iroha – Hyperledger Foundation https://www.hyperledger.org/use/iroha accessed.
- Hyperledger Sawtooth – Hyperledger Foundation https://www.hyperledger.org/use/sawtooth accessed.
- Ismail L., Materwala H., Hennebelle A. A scoping review of integrated blockchain-cloud (BcC) architecture for healthcare: Applications, challenges and solutions. Sensors 2021. 2021;21(11):3753. doi: 10.3390/S21113753. May. 21, Page 3753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jiang S., Cao J., Wu H., Yang Y., Ma M., He J. SMARTCOMP; 2018. Blochie: A blockchain-based platform for healthcare information exchange,” proceedings - 2018 IEEE international conference on smart computing; pp. 49–56. Jul. 2018. [DOI] [Google Scholar]
- Jiang S., et al. Proceedings - 2019 2nd IEEE International Conference on Blockchain; Blockchain: 2019. Privacy-preserving and efficient multi-keyword search over encrypted data on blockchain; pp. 405–410. Jul. 2019. [DOI] [Google Scholar]
- Jia B., Zhang X., Liu J., Zhang Y., Huang K., Liang Y. Blockchain-enabled federated learning data protection aggregation scheme with differential privacy and homomorphic encryption in IIoT. IEEE Transactions on Industrial Informatics. 2022;18(6):4049–4058, Jun. doi: 10.1109/TII.2021.3085960. [DOI] [Google Scholar]
- Judd T.M., Sloane E.B., Silva R.J. 2nd ed. Clinical Engineering Handbook; 2020. The digital hospital of the 21th century, and information systems management; pp. 530–542. Jan. [DOI] [Google Scholar]
- Kakkar B., Johri P. SMART; 2021. Blockchain: A healthcare perspective,” proceedings of the 2021 10th international conference on system modeling and advancement in research trends; pp. 373–379. 2021. [DOI] [Google Scholar]
- Kaur S., Chaturvedi S., Sharma A., Kar J. A research survey on applications of consensus protocols in blockchain. Security and Communication Networks. 2021;2021 doi: 10.1155/2021/6693731. [DOI] [Google Scholar]
- Kumar N.P., S B., S S.P. A blockchain-based secure and sustainable electronic healthcare record system. Perspectives in Communication, Embedded-systems and Signal-processing - PiCES. 2020;4(6):140–146. doi: 10.5281/ZENODO.4247808. Oct. [DOI] [Google Scholar]
- Kuo T.T., Kim H.E., Ohno-Machado L. Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association. 2017;24(6):1211–1220, Nov. doi: 10.1093/JAMIA/OCX068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kyriakoudes G., Louca S., Behbod B. Cyprus's new National Health Service and future European health. The Lancet. 2018;392 doi: 10.1016/S0140-6736(18)32163-9. 1514, Oct. [DOI] [PubMed] [Google Scholar]
- Leng Z., Tan Z., Wang K. Application of hyperledger in the hospital information systems: A survey. IEEE Access. 2021;9:128965–128987. doi: 10.1109/ACCESS.2021.3112608. [DOI] [Google Scholar]
- Lucero R.J., et al. A data-driven and practice-based approach to identify risk factors associated with hospital-acquired falls: Applying manual and semi- and fully-automated methods. The Internet Journal of Medical Informatics. 2019;122:63–69. doi: 10.1016/J.IJMEDINF.2018.11.006. Feb. [DOI] [PubMed] [Google Scholar]
- Maddali L.P., Thakur M.S.D., Vigneswaran R., Rajan M.A., Kanchanapalli S., Das B. VeriBlock: A novel blockchain framework based on verifiable computing and trusted execution environment,” 2020 international Conference on COMmunication Systems and NETworkS. COMSNETS. 2020:1–6. doi: 10.1109/COMSNETS48256.2020.9027414. Jan. 2020. [DOI] [Google Scholar]
- Maher M.A., Khan I.A. From sharing to selling: Challenges and opportunities of establishing a digital health data marketplace using blockchain technologies. Blockchain Healthc Today. 2022;5:184. doi: 10.30953/bhty.v5.184. Jan. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nakamoto S. Bitcoin: A peer-to-peer electronic cash system. 2022. www.bitcoin.org Accessed: Aug. 13, [Online]. Available:
- Nugent T., Upton D., Cimpoesu M. Improving data transparency in clinical trials using blockchain smart contracts. F1000Res. 2016;5 doi: 10.12688/F1000RESEARCH.9756.1/. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oh S.H., Park J., Lee S.J., Kang S., Mo J. Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records. Expert Systems with Applications. 2022;206 doi: 10.1016/J.ESWA.2022.117932. Nov. [DOI] [Google Scholar]
- Otero P., Durá MPH Physician Dé bora Setton P., Eymann A. Physician julio busaniche physician juliá llera chair, “mismatch between the prevalence of overweight and obese children and adolescents and recording in electronic health records: A cross-sectional study”. www.who.int/growthref/en/ Accessed: Nov. 01, 2022. [Online]. Available: [DOI] [PubMed]
- Page M.J., et al. PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372 doi: 10.1136/BMJ.N160. Mar. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Page M.J., et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372 doi: 10.1136/BMJ.N71. Mar. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Panda S.K., Satapathy S.C. An Investigation into Smart Contract Deployment on Ethereum Platform Using Web3.js and Solidity Using Blockchain. 2021:549–561. doi: 10.1007/978-981-16-0171-2_52. [DOI] [Google Scholar]
- Povilionis A., et al. Identity management, access control and privacy in integrated care platforms: The PICASO project. Proceedings - International Carnahan Conference on Security Technology. 2018;2018 doi: 10.1109/CCST.2018.8585716. October, Dec. [DOI] [Google Scholar]
- Quan K.A., et al. Electronic health record solutions to reduce central line-associated bloodstream infections by enhancing documentation of central line insertion practices, line days, and daily line necessity. American Journal of Infection Control. 2016;44(4):438–443. doi: 10.1016/J.AJIC.2015.10.036. Apr. [DOI] [PubMed] [Google Scholar]
- Rutschman A.S. All Faculty Scholarship; 2018. Healthcare blockchain infrastructure: A comparative approach.https://scholarship.law.slu.edu/faculty/92 Jan. Accessed: Aug. 13, 2022. [Online]. Available: [Google Scholar]
- Sadaiyandi M.A. Block chain based implementation of electronic medical health record keywords: Receptionist login, automatic mail sending in appointment Conformation,Patient login and diseases sending to doctor encryption,Doctor login and patient disease perception encryption. International Journal of Research in Engineering and Science. 2022 www.ijres.org Accessed: Jul. 02. [Online]. Available: [Google Scholar]
- Sankar L.S., Sindhu M., Sethumadhavan M. Survey of consensus protocols on blockchain applications,” 2017 4th international Conference on advanced Computing and communication systems. ICACCS. 2017 doi: 10.1109/ICACCS.2017.8014672. Aug. 2017. [DOI] [Google Scholar]
- Satamraju K.P., Malarkodi B. Proof of concept of scalable integration of internet of things and blockchain in healthcare. Sensors. 2020;20(5):1389. doi: 10.3390/S20051389. Page 1389, vol. 20. Mar. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sauer C.M., Chen L.-C., Hyland S.L., Girbes A., Elbers P., Celi L.A. Leveraging electronic health records for data science: Common pitfalls and how to avoid them. Lancet Digit Health. 2022 doi: 10.1016/S2589-7500(22)00154-6. Sep. [DOI] [PubMed] [Google Scholar]
- Seh A.H., et al. Healthcare data breaches: Insights and implications. Healthcare. 2020;8(2):133. doi: 10.3390/HEALTHCARE8020133. 8, Page 133. May 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shahnaz A., Qamar U., A K.-I. Access, and undefined 2019, “Using blockchain for electronic health records. 2023. ieeexplore.ieee.org/abstract/document/8863359 Accessed: Jan. 12, [Online]. Available: https://
- Shi S., He D., Li L., Kumar N., Khan M.K., Choo K.K.R. Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey. Computers & Security. 2020;97 doi: 10.1016/J.COSE.2020.101966. Oct. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Silva P., et al. An idealized clinicogenomic registry to engage underrepresented populations using innovative technology. Journal of Personalized Medicine. 2022;12(5):713. doi: 10.3390/JPM12050713. 12, Page 713. Apr. 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Singh S., Kumar Sharma S., Mehrotra P., Bhatt P., Kaurav M. Blockchain technology for efficient data management in healthcare system: Opportunity, challenges and future perspectives. Materials Today: Proceedings. 2022;62:5042–5046. doi: 10.1016/J.MATPR.2022.04.998. Jan. [DOI] [Google Scholar]
- Sung M.D., Park S.J., Jung S., Lee E., Lee J., Park Y.R. Developing a mobile app for monitoring medical record changes using blockchain: Development and usability study. Journal of Medical Internet Research. 2020;22(8) doi: 10.2196/19657. 2020/8/e19657, vol. 22, no. 8, p. e19657, Aug. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tanwar S., Parekh K., R. E.-J. of I. S. and, and undefined . Vol. 50. Elsevier; 2020. (Blockchain-based electronic healthcare record system for healthcare 4.0 applications). 2020. [DOI] [Google Scholar]
- Tierion - blockchain proof engine. https://tierion.com/ accessed.
- Valverde J.L. Corporate responsibility and pharmaceutical fraud. Pharmaceuticals Policy and Law. 2012;14(2–4):129–156. doi: 10.3233/PPL-120350. Jan. [DOI] [Google Scholar]
- Vinaykumar S., Zhang C., Shahriar H. Securing electronic medical records: Approaches and challenges. SAIS 2019 Proceedings. 2019;29 https://aisel.aisnet.org/sais2019/29 Accessed: Jul. 04, 2022. [Online]. Available: [Google Scholar]
- V. P.-H. informatics journal and undefined A framework for secure and decentralized sharing of medical imaging data via blockchain consensus. journals.sagepub.com. 2019;25(4):1398–1411, Dec. doi: 10.1177/1460458218769699. 2019. [DOI] [PubMed] [Google Scholar]
- Wood A., Najarian K., Kahrobaei D. Homomorphic encryption for machine learning in medicine and bioinformatics. ACM Computing Surveys. 2020;53(4) doi: 10.1145/3394658. Aug. [DOI] [Google Scholar]
- Xia Q., et al. BBDS: Blockchain-based data sharing for electronic medical records in cloud environments. Information. 2017;8(2):44. doi: 10.3390/INFO8020044. Apr. 2017. 8, Page 44. [DOI] [Google Scholar]
- Yasrab R. Platform-as-a-Service (PaaS): The Next Hype of Cloud Computing. 2018 doi: 10.48550/arxiv.1804.10811. Apr. [DOI] [Google Scholar]
- Yeung K. The health care sector's experience of blockchain: A cross-disciplinary investigation of its real transformative potential. Journal of Medical Internet Research. 2021;23(12) doi: 10.2196/24109. https://www.jmir.org/2021/12/e24109 23, no. 12, p. e24109, Dec. 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Your personal electronic health record - medrec:M. https://medrec-m.com/
- Zhuang Y., Sheets L.R., Chen Y.W., Shae Z.Y., Tsai J.J.P., Shyu C.R. A patient-centric health information exchange framework using blockchain technology. IEEE J Biomed Health Inform. 2020;24(8):2169–2176, Aug. doi: 10.1109/JBHI.2020.2993072. [DOI] [PubMed] [Google Scholar]
Further reading
- Alloghani M., et al. A systematic review on the status and progress of homomorphic encryption technologies. Journal of Information Security and Applications. 2019;48:102362. doi: 10.1016/J.JISA.2019.102362. Oct. [DOI] [Google Scholar]
- Beinke J., Fitte C., F. T.-J. of medical I. research, and undefined Towards a stakeholder-oriented blockchain-based architecture for electronic health records: Design science research study. jmir.org. 2019 doi: 10.2196/13585. https://www.jmir.org/2019/10/e13585/ Accessed: Jan. 12, 2023. [Online]. Available: [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chelladurai U., Pandian S. Blockchain Technology; 2020. Blockchain-based integrated digital health record – a new model for health information exchanges; pp. 107–118. Nov. [DOI] [Google Scholar]
- Esmaeilzadeh P., T. M.-J. of medical I. research, and undefined The potential of blockchain technology for health information exchange: Experimental study from patients' perspectives. jmir.org. 2019 doi: 10.2196/14184. https://www.jmir.org/2019/6/e14184/ Accessed: Jan. 12, 2023. [Online]. Available: [DOI] [PMC free article] [PubMed] [Google Scholar]
- Esmaeilzadeh P., T. M.-J. of medical I. research, and undefined The potential of blockchain technology for health information exchange: Experimental study from patients' perspectives. jmir.org. 2019 doi: 10.2196/14184. https://www.jmir.org/2019/6/e14184/ Accessed: Jan. 12, 2023. [Online]. Available: [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ethereum Whitepaper ethereum.org. https://ethereum.org/en/whitepaper/ accessed.
- Haq I., Esuka O.M. Blockchain technology in pharmaceutical industry to prevent counterfeit drugs article in international journal of computer applications · march. International Journal of Computing and Applications. 2018;180(25):975–8887. doi: 10.5120/ijca2018916579. [DOI] [Google Scholar]
- Home https://medicalchain.com/en/ accessed.
- Huang Z., Ge Z., Dong W., He K., Duan H. Probabilistic modeling personalized treatment pathways using electronic health records. Journal of Biomedical Informatics. 2018;86:33–48. doi: 10.1016/J.JBI.2018.08.004. Oct. [DOI] [PubMed] [Google Scholar]
- Kaur H., Alam M.A., Jameel R., Mourya A.K., Chang V. A proposed solution and future direction for blockchain-based heterogeneous medicare data in cloud environment. Journal of Medical Systems. 2018;42(8) doi: 10.1007/S10916-018-1007-5. Aug. [DOI] [PubMed] [Google Scholar]
- Kong Q., Su L., Ma M. Achieving privacy-preserving and verifiable data sharing in vehicular fog with blockchain. IEEE Transactions on Intelligent Transportation Systems. 2021;22(8):4889–4898. doi: 10.1109/TITS.2020.2983466. Aug. [DOI] [Google Scholar]
- Leeming G., Cunningham J., Ainsworth J. A ledger of me: Personalizing healthcare using blockchain technology. Frontiers of Medicine. 2019;6 doi: 10.3389/FMED.2019.00171/FULL. Jul. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liang W., Zhang D., Lei X., Tang M., Li K.C., Zomaya A.Y. Circuit copyright blockchain: Blockchain-based homomorphic encryption for IP circuit protection. IEEE Trans Emerg Top Comput. 2021;9(3):1410–1420. doi: 10.1109/TETC.2020.2993032. [DOI] [Google Scholar]
- Lindberg D.S., et al. Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach. The Internet Journal of Medical Informatics. 2020;143 doi: 10.1016/J.IJMEDINF.2020.104272. Nov. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mackey T.K., et al. ‘Fit-for-purpose?’ - challenges and opportunities for applications of blockchain technology in the future of healthcare. BMC Medicine. 2019;17(1) doi: 10.1186/S12916-019-1296-7. Mar. [DOI] [PMC free article] [PubMed] [Google Scholar]
- M. G.-N. management and undefined Block what? The unrealized potential of blockchain in healthcare. journals.lww.com. 2019 doi: 10.1097/01.NUMA.0000557782.47673.80. https://journals.lww.com/nursingmanagement/FullText/2019/05000/Block_what__The_unrealized_potential_of_blockchain.3.aspx Accessed: Jan. 12, 2023. [Online]. Available: [DOI] [PubMed] [Google Scholar]
- Why mismatched patient records are a problem. 2022. https://www.managedhealthcareexecutive.com/view/why-mismatched-patient-records-are-problem accessed Nov. 01. [Google Scholar]
- Wilcox A.B., Chen Y.H., Hripcsak G. Minimizing electronic health record patient-note mismatches. Journal of the American Medical Informatics Association. 2011;18(4):511–514. doi: 10.1136/AMIAJNL-2010-000068/3/AMIAJNL-2010-000068FIG2.JPEG. Jul. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wright A., et al. Problem list completeness in electronic health records: A multi-site study and assessment of success factors. The Internet Journal of Medical Informatics. 2015;84(10):784–790. doi: 10.1016/J.IJMEDINF.2015.06.011. Oct. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yousuf H., Lahzi M., Salloum S.A., Shaalan K. Systematic review on fully homomorphic encryption scheme and its application. Studies in Systems, Decision and Control. 2021;295:537–551. doi: 10.1007/978-3-030-47411-9_29/COVER. [DOI] [Google Scholar]
- Zhao J., Gu S., McDermaid A. Predicting outcomes of chronic kidney disease from EMR data based on Random Forest Regression. Mathematical Biosciences. 2019;310:24–30. doi: 10.1016/J.MBS.2019.02.001. Apr. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data will be made available on request.





