Secure and Trustable Electronic Medical Records Sharing using Blockchain

By Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Ignaz Schumacher, Fusheng Wang. American Medical Informatics Association Annual Symposium, 2017

458 citations recorded by the source corpus.

Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthcare data management, in particular, for EMR data sharing between healthcare providers and for research studies. We propose a framework on managing and sharing EMR data for cancer patient care. In collaboration with Stony Brook University Hospital, we implemented our framework in a prototype that ensures privacy, security, availability, and fine-grained access control over EMR data. The proposed work can significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/056dcf482f20698c4c9fb0d4d9d38b32750781fb

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Citations in the corpus

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives (2019, background): “To circumvent such limitations, Dubovitskaya et al. [26] proposed a blockchain-based framework for managing, maintaining, and sharing the electronic medical records of cancer patients.”
Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability (2018, methodology): “also propose a permissioned blockchain (focused on oncologic care) which leverages off-chain cloud storage for clinical data, using the blockchain tomanage consent and authorization [51].”
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records (2019, background): “This may impede adoption of machine learning on EMRs in reality, and has entailed researchers to raise concerns on central storage of EMRs and on security, cost-effectiveness, privacy and availability of medical data sharing [14-24].”
Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey (2020, unknown): “Dubovitskaya et al. (2017) proposed a framework to manage and share EMRs for cancer patient care based on symmetric encryption.”
Blockchain 3.0 applications survey (2020, background): “A permissioned solution with medical institutions as nodes would seem like a natural implementation of the system [65].”
FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data (2018, background): “[37] also proposed a permissioned blockchain framework on managing and sharing medical records for cancer patient care.”
A Systematic Review of the Use of Blockchain in Healthcare (2018, unknown): “1 [44] 2018 2 Journal IEEE Access 2 [45] 2017 0 Conference IEEE International Symposium on Autonomous Decentralized System (ISADS) 3 [46] 2018 0 Conference IEEE EMBS International Conference on Biomedical Health Informatics (BHI) 4 [47] 2017 0 Conference International Conference on Software, Telecom”
A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019, background): “Reference [132] proposes a blockchain-based framework to share EMR data among healthcare providers for cancer patient care.”
Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems (2019, background): “Blockchain with its decentralized and trustworthy nature has demonstrated immense potentials in various e-health sectors such as secure sharing of Electronic Health Records (EHRs) and data access management among multiple medical entities [4]–[6].”