Decentralised provenance for healthcare data

Margheri, Andrea; Masi, Massimiliano; Miladi, Abdallah; Sassone, Vladimiro; Rosenzweig, Jason

doi:10.1016/j.ijmedinf.2020.104197

Cited by 56 publications

(49 citation statements)

References 15 publications

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“…Uncertainties related to non-regulatory challenges cannot only be addressed by referring to specific scenario descriptions; it is also important to develop templates for contracts, including the mechanisms for consenting, and to describe technical integration solutions that cover the entire chain of data processing between different institutions. Fast Healthcare Interoperability Resources (FHIR) are just the rails for the latter ones and should be the base for developing cross-institutional IHE profiles [8].…”

Section: Discussionmentioning

confidence: 99%

Decentralized Digital Health Services Caught Between the Pressure for Innovation and the Burden of Regulations

Meier

Tippenhauer

Sariyar

2021

Studies in Health Technology and Informatics

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Multiple challenges await third-party digital health services when trying to enter the health market. Prominent examples of such services are clinical decision support systems provided as external software. Uncertainty about their challenges, technical as well as legal, pose serious hurdles for many innovations to be adopted early on. There are many options and trade-offs to provide digital healthcare solutions as a third-party service. This paper discusses them by referring to a pharmacogenetic decision support service. By providing best-practices, scenario descriptions and templates designed for third-party services with respect to legal and technical issues, obstacles and uncertainties can be reduced, which will have an impact on better diagnoses and treatments in the healthcare system.

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Section: Discussionmentioning

confidence: 99%

Decentralized Digital Health Services Caught Between the Pressure for Innovation and the Burden of Regulations

Meier

Tippenhauer

Sariyar

2021

Studies in Health Technology and Informatics

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“…It is worth mentioning during this period that healthcare received close attention from people in this period, and HEALTHCARE [116][117][118] as a newly emerging or declining theme returned to researchers' vision. During this period, researchers' research on healthcare was mainly data interoperability [119] and electronic medical records [120]. This change may be related to COVID-19.…”

Section: ) First Period (2014-2016)mentioning

confidence: 99%

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Luo

Bai

2021

IEEE Access

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As one of the disruptive technologies in the fourth industrial revolution, Blockchain has irrevocably changed how people live and work. Many scholars have studied the Blockchain, and the number of related publications has increased over time. Bibliometrics is an excellent method to study the development trend of a specific field. However, few scholars have used bibliometrics to research Blockchain; the inheritance and evolution among its different research themes have not yet been fully understood. This study emphasizes the scientific evolution and research focus of Blockchain through bibliometric analysis. We analyzed 2993 publications from 2014 to 2020 using co-word analysis and cluster analysis with bibliometric tools such as the SciMAT. The most productive author, country, institutions and leading research areas were identified, outlining the Blockchain field's fundamental developments. The results show the changes in keywords regarding Blockchain summarize the research hotspots in different periods. The study discusses the evolution process of various themes in each period, providing a meaningful reference for scholars to identify research hotspots and future research directions in the Blockchain field.

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“…Another IoT based blockchain platform was presented for tracking patient vital signs using smart blockchain based smart contracts [33]. Andrea et al proposed a provenance management platform for tracking electronic healthcare records by employing Hyperledger Fabric blockchain smart contracts [34]. A.Roehrs et al [35] presented a prototype implementation and evaluation of the OmniPHR architecture that maximizes the replication of health data across computing nodes model by integrating distributed health re-cords using blockchain technology and the open EHR interoperability.…”

Section: Refmentioning

confidence: 99%

Healthchain: A novel framework on privacy preservation of electronic health records using blockchain technology

et al. 2020

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The privacy of Electronic Health Records (EHRs) is facing a major hurdle with outsourcing private health data in the cloud as there exists danger of leaking health information to unauthorized parties. In fact, EHRs are stored on centralized databases that increases the security risk footprint and requires trust in a single authority which cannot effectively protect data from internal attacks. This research focuses on ensuring the patient privacy and data security while sharing the sensitive data across same or different organisations as well as healthcare providers in a distributed environment. This research develops a privacy-preserving framework viz Healthchain based on Blockchain technology that maintains security, privacy, scalability and integrity of the e-health data. The Blockchain is built on Hyperledger fabric, a permissioned distributed ledger solutions by using Hyperledger composer and stores EHRs by utilizing InterPlanetary File System (IPFS) to build this healthchain framework. Moreover, the data stored in the IPFS is encrypted by using a unique cryptographic public key encryption algorithm to create a robust blockchain solution for electronic health data. The objective of the research is to provide a foundation for developing security solutions against cyber-attacks by exploiting the inherent features of the blockchain, and thus contribute to the robustness of healthcare information sharing environments. Through the results, the proposed model shows that the healthcare records are not traceable to unauthorized access as the model stores only the encrypted hash of the records that proves effectiveness in terms of data security, enhanced data privacy, improved data scalability, interoperability and data integrity while sharing and accessing medical records among stakeholders across the healthchain network.

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Decentralised provenance for healthcare data

Cited by 56 publications

References 15 publications

Decentralized Digital Health Services Caught Between the Pressure for Innovation and the Burden of Regulations

Decentralized Digital Health Services Caught Between the Pressure for Innovation and the Burden of Regulations

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Healthchain: A novel framework on privacy preservation of electronic health records using blockchain technology

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