The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Implementing Blockchains for Efficient Health Care: Systematic Review
Open accessAbstract
BACKGROUND: The decentralized nature of sensitive health information can bring about situations where timely information is unavailable, worsening health outcomes. Furthermore, as patient involvement in health care increases, there is a growing need for patients to access and control their data. Blockchain is a secure, decentralized online ledger that could be used to manage electronic health records (EHRs) efficiently, therefore with the potential to improve health outcomes by creating a conduit for interoperability. OBJECTIVE: This study aimed to perform a systematic review to assess the feasibility of blockchain as a method of managing health care records efficiently. METHODS: Reviewers identified studies via systematic searches of databases including PubMed, MEDLINE, Scopus, EMBASE, ProQuest, and Cochrane Library. Suitability for inclusion of each was assessed independently. RESULTS: Of the 71 included studies, the majority discuss potential benefits and limitations without evaluation of their effectiveness, although some systems were tested on live data. CONCLUSIONS: Blockchain could create a mechanism to manage access to EHRs stored on the cloud. Using a blockchain can increase interoperability while maintaining privacy and security of data. It contains inherent integrity and conforms to strict legal regulations. Increased interoperability would be beneficial for health outcomes. Although this technology is currently unfamiliar to most, investments into creating a sufficiently user-friendly interface and educating users on how best to take advantage of it would lead to improved health outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10994.
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Citations
Cites
MedRec: Using Blockchain for Medical Data Access and Permission Management
Azaria, A., Ekblaw, A., Vieira, T., & Lippman, A. (2016) · 2016 2nd International Conference on Open and Big Data (OBD) · doi:10.1109/obd.2016.11 · Cited by 2,526
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0574-6 · Cited by 1,240
Dagher, G. G., Mohler, J., Milojkovic, M., & Marella, P. B. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.02.014 · Cited by 854 · cited 4×
“These factors, therefore, reduce administrative delays, as does the use of smart contracts to execute patients’ consent preferences immediately [23,24].”
BackgroundInfluentialIntegrating blockchain for data sharing and collaboration in mobile healthcare applications
Liang, X., Zhao, J., Shetty, S., Liu, J., & Li, D. (2017) · 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2017.8292361 · Cited by 711 · cited 1×
“18 [21-23,31,40-52] Proposal of EHR blockchain framework (not tested on real data)”
BackgroundA Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18 F-FDG PET of the Brain
Ding, Y., Sohn, J. H., Kawczynski, M. G., Trivedi, H., Harnish, R., Jenkins, N. W., Lituiev, D., Copeland, T. P., Aboian, M. S., Mari Aparici, C., et al. (2019) · Radiology · doi:10.1148/radiol.2018180958 · Cited by 577
Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471
Tamper-Resistant Mobile Health Using Blockchain Technology.
Ichikawa, D., Kashiyama, M., & Ueno, T. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7938 · Cited by 298 · cited 1×
“4 [36-39] Implementation of EHRa blockchain system (tested on real data)”
MethodFingernail analysis management system using microscopy sensor and blockchain technology
Lee, S. H., & Yang, C. S. (2018) · International Journal of Distributed Sensor Networks · doi:10.1177/1550147718767044 · Cited by 56
Blockchain implementation in health care: protocol for a systematic review
Meinert, E., Alturkistani, A., Foley, K. A., Osama, T., Car, J., Majeed, A., Van Velthoven, M., Wells, G., & Brindley, D. (2019) · JMIR Research Protocols · doi:10.2196/10994 · Cited by 51
Self-citation
Cited by
A Blockchain-Based Smart Contract System for Healthcare Management
Khatoon, A. (2020) · Electronics · doi:10.3390/electronics9010094 · Cited by 508
Blockchain vehicles for efficient Medical Record management
Vazirani, A. A., O’Donoghue, O., Brindley, D., & Meinert, E. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0211-0 · Cited by 245
Self-citationThe rise of “blockchain”: bibliometric analysis of blockchain study
Firdaus, A., Razak, M. F. A., Feizollah, A., Hashem, I. A. T., Hazim, M., & Anuar, N. B. (2019) · Scientometrics · doi:10.1007/s11192-019-03170-4 · Cited by 208
Metadata
- Authors
- Vazirani, A. A., O'Donoghue, O., Brindley, D., & Meinert, E.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2019-02-12
- Volume
- 21
- Issue
- 2
- Pages
- e12439
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W2907003924
- Cited by
- 175
- References
- 9
- FWCI
- 4.61
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
