journal article·2019-03-22Open access

MedChain: Efficient Healthcare Data Sharing via Blockchain

Bingqing Shen, Jingzhi Guo, Yilong Yang

Applied Sciences· Volume 9· Issue 6

Abstract

Healthcare information exchange is an important research topic, which can benefit both healthcare providers and patients. In healthcare data sharing, many cloud-based solutions have been proposed, but the trustworthiness of a third-party cloud service is questionable. Recently, blockchain has been introduced in healthcare record sharing, which does not rely on trusting a third party. However, existing approaches only focus on the records collected from medical examination. They are not efficient in sharing data streams continuously generated from sensors and other monitoring devices. Today, IoT devices have been widely deployed and sensors and mobile applications can monitor patients’ body conditions. The collected data are shared to laboratories and institutions for diagnosis and further study. Moreover, existing approaches are too rigid to efficiently support metadata change. In this paper, an efficient data-sharing scheme is proposed, called MedChain, which combines blockchain, digest chain, and structured P2P network techniques to overcome the above efficiency issues in the existing approaches for sharing both types of healthcare data. Based on MedChain, a session-based healthcare data-sharing scheme is devised, which brings flexibility in data sharing. The evaluation results show that MedChain can achieve higher efficiency and satisfy the security requirements in data sharing.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Blockchain Technology Applications and Security · IoT and Edge/Fog Computing · Privacy-Preserving Technologies in Data

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Science and Technology, University of Macau, Macau SAR 999078, China

Funding

Universidade de Macau

References (48)

Show source-provided references
1. Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare10.1016/j.future.2017.04.036 ↗
2. An Internet of Things-based health prescription assistant and its security system design10.1016/j.future.2017.11.020 ↗
3. Mobile cloud-based physical activity advisory system using biofeedback sensors10.1016/j.future.2015.11.005 ↗
4. MarketsandMarkets Research (2018, December 21). IoT Healthcare Market by Component (Medical Device, Systems & Software, Service, Connectivity Technology), Application (Telemedicine, Work Flow Management, Connected Imaging, Medication Management), End User, and Region—Global Forecast to 2022. Available online: https://www.marketsandmarkets.com/Market-Reports/iot-healthcare-market-160082804.html.
5. Privacy Preservation in e-Healthcare Environments: State of the Art and Future Directions10.1109/ACCESS.2017.2767561 ↗
6. A secure EHR system based on hybrid clouds10.1007/s10916-012-9830-6 ↗
7. Risk Analysis of Cloud Sourcing in Healthcare and Public Health Industry10.1109/ACCESS.2018.2805919 ↗
8. Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability10.1016/j.csbj.2018.06.003 ↗
9. The Economist Intelligence Unit of IBM Institute for Business Value (2018, December 21). Healthcare Rallies for Blockchains: Keeping Patients at the Center. Available online: http://www.ibm.biz/blockchainhealth.
10. MGMA (2018, December 21). Awareness about Blockchain Technology in the U.S. among Medical Practice Administrators and Executives as of 2017. Available online: https://www.statista.com/statistics/828392/knowledge-of-blockchain-technology-and-its-areas-of-impact-in-healthcare/.
11. Cognizant (2018, December 21). Healthcare: Blockchain’s CurativePotential for HealthcareEfficiency and Quality. Available online: https://www.cognizant.com/whitepapers/healthcare-blockchains-curative-potential-for-healthcare-efficiency-and-quality-codex2995.pdf.
12. Cognizant (2018, December 21). Major External Barriers to Adopt Blockchain in Companies in Asia-Pacific in 2017. Available online: https://www-statista-com.unh-proxy01.newhaven.edu/statistics/882562/asia-pacific-external-barrier-to-adopt-blockchain-in-companies/.
13. Health information exchange, system size and information silos10.1016/j.jhealeco.2013.10.004 ↗
14. A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains10.1016/j.jbi.2013.05.009 ↗
15. Do integrated record systems lead to integrated services? An observational study of a multi-professional system in a diabetes service10.1016/j.ijmedinf.2011.09.002 ↗
16. Improving the informational continuity of care in diabetes mellitus treatment with a nationwide shared EHR system: Estimates from Austrian claims data10.1016/j.ijmedinf.2016.05.001 ↗
17. User experiences with different regional health information exchange systems in Finland10.1016/j.ijmedinf.2013.10.002 ↗
18. MedShare: A Novel Hybrid Cloud for Medical Resource Sharing among Autonomous Healthcare Providers10.1109/ACCESS.2018.2865535 ↗
19. MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture10.7150/ijbs.24617 ↗
20. A Systematic Review of the Availability and Efficacy of Countermeasures to Internal Threats in Healthcare Critical Infrastructure10.1109/ACCESS.2018.2817560 ↗
21. Secure and fine-grained access control on e-healthcare records in mobile cloud computing10.1016/j.future.2016.12.027 ↗
22. Anonymous Data Sharing Scheme in Public Cloud and Its Application in E-health Record10.1109/ACCESS.2018.2838095 ↗
23. Anonymous Authentication Scheme for Smart Cloud Based Healthcare Applications10.1109/ACCESS.2018.2841972 ↗
24. Privacy-preserving search over encrypted personal health record in multi-source cloud10.1109/ACCESS.2018.2793304 ↗
25. Addressing cloud computing security issues10.1016/j.future.2010.12.006 ↗
26. Research issues for privacy and security of electronic health services10.1016/j.future.2016.08.011 ↗
27. Healthcare data gateways: Found healthcare intelligence on blockchain with novel privacy risk control10.1007/s10916-016-0574-6 ↗
28. Wang, G., Atiquzzaman, M., Yan, Z., and Choo, K.K. (2017). MediBchain: A blockchain based privacy preserving platform for healthcare data, Security, Privacy, and Anonymity in Computation, Communication, and Storage, Guangzhou, China, 12–15 December, 2017, Springer.10.1007/978-3-319-72389-1 ↗
29. Secure attribute-based signature scheme with multiple authorities for Blockchain in electronic health records systems10.1109/ACCESS.2018.2801266 ↗
30. Blockchain-Based Data Preservation System for Medical Data10.1007/s10916-018-0997-3 ↗
31. MeDShare: Trust-less medical data sharing among cloud service providers via blockchain10.1109/ACCESS.2017.2730843 ↗
32. Patel, V. (2018). A framework for secure and decentralized sharing of medical imaging data via blockchain consensus. Health Inform. J., 1–14.
33. Azaria, A., Ekblaw, A., Vieira, T., and Lippman, A. (2016, January 22–24). MedRec: Using blockchain for medical data access and permission management. Proceedings of the 2016 2nd International Conference on Open and Big Data (OBD), Vienna, Austria.10.1109/OBD.2016.11 ↗
34. MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain10.1007/s10916-018-0993-7 ↗
35. Towards Secure and Privacy-Preserving Data Sharing in e-Health Systems via Consortium Blockchain10.1007/s10916-018-0995-5 ↗
36. Elliptic curve cryptosystems10.1090/S0025-5718-1987-0866109-5 ↗
37. Pomerance, C. (1987, January 16–20). A digital signature based on a conventional encryption function. Proceedings of the Conference on the Theory and Application of Cryptographic Techniques, Santa Barbara, CA, USA.
38. Gramoli, V. (2017). From blockchain consensus back to byzantine consensus. Future Gener. Comput. Syst., in press.
39. Sousa, J., and Bessani, A. (2012, January 8–11). From Byzantine Consensus to BFT State Machine Replication: A Latency-Optimal Transformation. Proceedings of the 2012 Ninth European Dependable Computing Conference, Sibiu, Romania.10.1109/EDCC.2012.32 ↗
40. Stoica, I., Morris, R., Karger, D., Kaashoek, M.F., and Balakrishnan, H. (2001, January 27–31). Chord: A scalable peer-to-peer lookup service for internet applications. Proceedings of the 2001 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM 01), San Diego, CA, USA.10.1145/383059.383071 ↗
41. A survey and comparison of peer-to-peer overlay network schemes10.1109/COMST.2005.1610546 ↗
42. (2018, December 21). MedChain Source Code. Available online: https://github.com/sunniel/MedChain.
43. (2018, December 21). WANem—The Wide Area Network Emulator. Available online: http://wanem.sourceforge.net.
44. The impact of the MIT-BIH Arrhythmia Database10.1109/51.932724 ↗
45. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals10.1161/01.CIR.101.23.e215 ↗
46. Baden, R., Bender, A., Spring, N., Bhattacharjee, B., and Starin, D. (2009, January 17–21). Persona: An online social network with user-defined privacy. Proceedings of the ACM SIGCOMM 2009 Conference on Data Communication (SIGCOMM 09), Barcelona, Spain.10.1145/1592568.1592585 ↗
47. A secured healthcare system using private blockchain technology
48. Despite the spread of health information exchange, there is little evidence of its impact on cost, use, and quality of care10.1377/hlthaff.2014.0729 ↗