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Blockchain application in healthcare service mode based on Health Data Bank |
Jianxia GONG, Lindu ZHAO( ) |
School of Economics & Management, Southeast University, Nanjing 210096, China |
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Abstract Blockchain is commonly considered a potential disruptive technology. Moreover, the healthcare industry has experienced rapid growth in the adoption of health information technology, such as electronic health records and electronic medical records. To guarantee data privacy and data security as well as to harness the value of health data, the concept of Health Data Bank (HDB) is proposed. In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model. This study first comprehensively reviews the main characters of blockchain and identifies the blockchain-based healthcare industry projects and startups in the areas of health insurance, pharmacy, and medical treatment. Then, we analyze the fundamental principles of HDB and point out four challenges faced by HDB’s sustainable development: (1) privacy protection and interoperability of health data; (2) data rights; (3) health data supervision; (4) and willingness to share health data. We also analyze the important benefits of blockchain adoption in HDB. Furthermore, three application scenarios including distributed storage of health data, smart-contract-based healthcare service mode, and consensus-algorithm-based incentive policy are proposed to shed light on HDB-based healthcare service mode. In the end, this study offers insights into potential research directions and challenges.
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Keywords
Health Data Bank
blockchain
data assets
smart contract
incentive mechanism
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Corresponding Author(s):
Lindu ZHAO
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Just Accepted Date: 08 September 2020
Online First Date: 29 September 2020
Issue Date: 02 November 2020
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1 |
M Andoni, V Robu, D Flynn, S Abram, D Geach, D Jenkins, P McCallum, A Peacock (2019). Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renewable & Sustainable Energy Reviews, 100: 143–174
https://doi.org/10.1016/j.rser.2018.10.014
|
2 |
V Babich, G Hilary (2020). Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Manufacturing and Service Operations Management, 22(2): 223–240
https://doi.org/10.1287/msom.2018.0752
|
3 |
S Benniche (2019). Using blockchain technology to recycle cancer drugs. The Lancet Oncology, 20(6): e300
https://doi.org/10.1016/S1470-2045(19)30291-8
pmid: 31085048
|
4 |
X Chen (2019). The development trend and practical innovation of smart cities under the integration of new technologies. Frontiers of Engineering Management, 6(4): 485–502
https://doi.org/10.1007/s42524-019-0057-9
|
5 |
S F Cheng, G de Franco, H Jiang, P Lin (2019). Riding the blockchain mania: Public firms’ speculative 8-K disclosures. Management Science, 65(12): 5901–5913
|
6 |
M Chernyshev, S Zeadally, Z Baig (2019). Healthcare data breaches: Implications for digital forensic readiness. Journal of Medical Systems, 43(1): 7
https://doi.org/10.1007/s10916-018-1123-2
pmid: 30488291
|
7 |
P Constantinides, O Henfridsson, G G Parker (2018). Introduction— Platforms and infrastructures in the digital age. Information Systems Research, 29(2): 381–400
https://doi.org/10.1287/isre.2018.0794
|
8 |
B Dodd (1997). An independent “Health Information Bank” could solve data security issues. British Journal of Healthcare Computing & Information Management, 14(8): 2
|
9 |
A Dolgui, D Ivanov, S Potryasaev, B Sokolov, M Ivanova, F Werner (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7): 2184–2199
https://doi.org/10.1080/00207543.2019.1627439
|
10 |
A Ekblaw, A Azaria, J D Halamka, A Lippman (2016). A case study for blockchain in healthcare: “MedRec” prototype for electronic health records and medical research data. In: Proceedings of the 2nd International Conference on Open & Big Data. Vienna: IEEE, 1–13
|
11 |
M A Engelhardt (2017). Hitching healthcare to the chain: An introduction to blockchain technology in the healthcare sector. Technology Innovation Management Review, 7(10): 22–34
https://doi.org/10.22215/timreview/1111
|
12 |
T Felin, K Lakhani (2018). What problems will you solve with blockchain? MIT Sloan Management Review, 60: 32–38
|
13 |
Gartner (2019). Gartner 2019 Hype Cycle for blockchain business shows blockchain will have a transformational impact across industries in five to 10 years. Available at:
|
14 |
T Gerry, H F Brett (2020). Token-weighted crowdsourcing. Management Science, in press, doi: 10.1287/mnsc.2019.3515
|
15 |
J D Gold, M J Ball (2007). The health record banking imperative: A conceptual model. IBM Systems Journal, 46(1): 43–55
https://doi.org/10.1147/sj.461.0043
|
16 |
J Gong, L Zhao (2019). Creditworthiness-based service differentiation strategy for health data bank. Procedia Computer Science, 159: 1833–1842
https://doi.org/10.1016/j.procs.2019.09.355
|
17 |
K Jia, M Kenney, J Mattila, T Seppala (2018). The application of artificial intelligence at Chinese digital platform giants: Baidu, Alibaba and Tencent. ETLA Reports, 81
|
18 |
Q Mao (2019). Developing status and system construction of crowd funding insurance system based on blockchain technology. Journal of Xihua University (Philosophy & Social Sciences), 38(2): 67–81 (in Chinese)
|
19 |
S Moin, A Karim, Z Safdar, K Safdar, E Ahmed, M Imran (2019). Securing IoTs in distributed blockchain: Analysis, requirements and open issues. Future Generation Computer Systems, 100: 325–343
https://doi.org/10.1016/j.future.2019.05.023
|
20 |
M Risius, K Spohrer (2017). A blockchain research framework. Business & Information Systems Engineering, 59(6): 385–409
https://doi.org/10.1007/s12599-017-0506-0
|
21 |
M Shabani (2019). Blockchain-based platforms for genomic data sharing: A de-centralized approach in response to the governance problems? Journal of the American Medical Informatics Association, 26(1): 76–80
https://doi.org/10.1093/jamia/ocy149
pmid: 30496430
|
22 |
K H Tan, N L Pang, C Siau, Z Foo, K Y Fong (2019). Building an organizational culture of patient safety. Journal of Patient Safety and Risk Management, 24(6): 253–261
https://doi.org/10.1177/2516043519878979
|
23 |
T Zhou, X Li, H Zhao (2019). Med-PPPHIS: Blockchain-based personal healthcare information system for national physique monitoring and scientific exercise guiding. Journal of Medical Systems, 43(9): 305
https://doi.org/10.1007/s10916-019-1430-2
pmid: 31410583
|
24 |
R Ziolkowski, G Miscione, G Schwabe (2020). Decision problems in blockchain governance: Old wine in new bottles or walking in someone else’s shoes? Journal of Management Information Systems, 37(2): 316–348
https://doi.org/10.1080/07421222.2020.1759974
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