Applications of Blockchain in the Medical Field: Narrative Review
As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios...
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Published in | Journal of medical Internet research Vol. 23; no. 10; p. e28613 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Canada
Gunther Eysenbach MD MPH, Associate Professor
28.10.2021
JMIR Publications |
Subjects | |
Online Access | Get full text |
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Abstract | As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice.
This paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed.
We searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology.
We found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy.
Blockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility. |
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AbstractList | Background: As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice. Objective: This paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed. Methods: We searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology. Results: We found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy. Conclusions: Blockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility. As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice. This paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed. We searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology. We found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy. Blockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility. BackgroundAs a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice. ObjectiveThis paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed. MethodsWe searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology. ResultsWe found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy. ConclusionsBlockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility. As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice.BACKGROUNDAs a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice.This paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed.OBJECTIVEThis paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed.We searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology.METHODSWe searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology.We found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy.RESULTSWe found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy.Blockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility.CONCLUSIONSBlockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility. |
Author | Wang, Honglin Huo, Tongtong Duan, Yu-Yu Dong, Zhe Zhang, Jiayao Ye, Zhewei Lu, Lin Liu, Songxiang Liu, Pengran Xie, Yi |
AuthorAffiliation | 5 Wuhan Academy of Intelligent Medicine Wuhan China 4 Hubei University of Chinese Medicine Wuhan China 1 Department of Orthopedics Surgery, Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China 2 Laboratory of Intelligent Medicine, Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China 3 School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China |
AuthorAffiliation_xml | – name: 2 Laboratory of Intelligent Medicine, Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China – name: 1 Department of Orthopedics Surgery, Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China – name: 4 Hubei University of Chinese Medicine Wuhan China – name: 5 Wuhan Academy of Intelligent Medicine Wuhan China – name: 3 School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34533470$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1136/medethics-2019-105963 10.1177/1460458218769699 10.1177/1932296818790281 10.2196/18907 10.1007/s10916-019-1430-2 10.1007/s10916-020-01589-4 10.1186/s12910-016-0153-x 10.1016/j.compmedimag.2020.101812 10.1007/s10916-016-0574-6 10.2196/18623 10.1186/s12874-020-01109-5 10.2196/10163 10.1016/j.csbj.2018.06.004 10.1093/pm/pny315 10.3390/diagnostics10040198 10.1007/s10916-020-01577-8 10.2196/13587 10.2174/1381612825666190620150302 10.1007/s10916-018-1121-4 10.1007/s10916-018-1007-5 10.3390/nano9060813 10.1080/20477724.2018.1503268 10.3390/s20051521 10.2196/20477 10.1186/s12920-020-0715-0 10.3390/s20102913 10.1038/s41467-019-08874-y 10.3390/s20010282 10.1007/s10916-020-01616-4 10.1016/j.csi.2021.103520 10.3390/ijerph16203847 10.3390/ijerph15061055 10.3390/brainsci10030183 10.1016/j.pcad.2019.08.002 10.1007/s13369-020-04950-4 10.1111/codi.14066 10.1080/02763869.2017.1332261 10.3390/s20133760 10.2196/28496 10.2196/13601 10.2196/13556 10.1007/s10916-018-0996-4 10.2196/12426 10.1016/S0140-6736(19)30948-1 10.1186/s12916-019-1296-7 10.2196/13600 10.1038/s41569-019-0294-y 10.2196/13649 10.2196/13592 10.1186/s13063-017-2035-z 10.1016/j.cose.2020.101966 10.4258/hir.2017.23.1.4 10.2196/16887 10.1089/omi.2020.0085 10.3390/s19224862 10.1109/SERA.2019.8886792 10.1109/ccgrid.2017.8 10.2196/13385 10.1097/ACM.0000000000002326 10.2196/22013 10.1109/ACCESS.2017.2730843 10.1109/BigDataCongress.2017.85 10.2196/13598 10.1109/JBHI.2020.2969648 10.5455/aim.2019.27.284-291 10.18632/oncotarget.22345 10.1093/jamia/ocaa023 10.1109/healthcom.2016.7749510 10.1007/s10916-018-0982-x 10.3390/s19153319 10.1007/s10278-019-00310-3 10.1159/000504325 10.2196/14184 10.1007/s10916-019-1468-1 10.2196/17423 10.3390/s19102394 10.1016/j.spc.2020.10.019 10.1016/j.ijpe.2020.107882 10.1016/j.techfore.2020.120431 10.1016/j.ijmedinf.2020.104246 10.1016/j.csbj.2018.06.003 10.2196/13563 10.12688/f1000research.9756.1 10.3390/s20123604 10.1177/1740774515597701 10.2196/13767 10.1101/gr.207464.116 10.1371/journal.pone.0163477 10.30953/bhty.v2.38 10.3390/jpm9030035 10.2196/mhealth.7938 10.1007/s10278-019-00246-8 10.1155/2020/2452683 10.3390/ijerph15081627 10.1016/j.amjmed.2019.12.016 10.2196/18619 10.1016/j.ijmedinf.2019.104040 10.1007/s10916-018-0993-7 10.2196/18938 10.2196/17199 10.1093/jamia/ocy185 10.1186/s12942-018-0144-x 10.1093/jamia/ocx068 10.1007/s10916-020-01628-0 10.2196/17508 |
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Copyright | Yi Xie, Jiayao Zhang, Honglin Wang, Pengran Liu, Songxiang Liu, Tongtong Huo, Yu-Yu Duan, Zhe Dong, Lin Lu, Zhewei Ye. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.10.2021. 2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Yi Xie, Jiayao Zhang, Honglin Wang, Pengran Liu, Songxiang Liu, Tongtong Huo, Yu-Yu Duan, Zhe Dong, Lin Lu, Zhewei Ye. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.10.2021. 2021 |
Copyright_xml | – notice: Yi Xie, Jiayao Zhang, Honglin Wang, Pengran Liu, Songxiang Liu, Tongtong Huo, Yu-Yu Duan, Zhe Dong, Lin Lu, Zhewei Ye. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.10.2021. – notice: 2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Yi Xie, Jiayao Zhang, Honglin Wang, Pengran Liu, Songxiang Liu, Tongtong Huo, Yu-Yu Duan, Zhe Dong, Lin Lu, Zhewei Ye. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.10.2021. 2021 |
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References_xml | – ident: ref4 doi: 10.1136/medethics-2019-105963 – ident: ref30 doi: 10.1177/1460458218769699 – ident: ref91 doi: 10.1177/1932296818790281 – ident: ref85 doi: 10.2196/18907 – ident: ref21 doi: 10.1007/s10916-019-1430-2 – ident: ref58 doi: 10.1007/s10916-020-01589-4 – ident: ref80 doi: 10.1186/s12910-016-0153-x – ident: ref98 doi: 10.1016/j.compmedimag.2020.101812 – ident: ref28 doi: 10.1007/s10916-016-0574-6 – ident: ref48 doi: 10.2196/18623 – ident: ref66 doi: 10.1186/s12874-020-01109-5 – ident: ref43 doi: 10.2196/10163 – ident: ref38 doi: 10.1016/j.csbj.2018.06.004 – ident: ref51 doi: 10.1093/pm/pny315 – ident: ref54 doi: 10.3390/diagnostics10040198 – ident: ref59 doi: 10.1007/s10916-020-01577-8 – ident: ref71 doi: 10.2196/13587 – ident: ref5 doi: 10.2174/1381612825666190620150302 – ident: ref24 doi: 10.1007/s10916-018-1121-4 – ident: ref82 doi: 10.1007/s10916-018-1007-5 – ident: ref86 doi: 10.3390/nano9060813 – ident: ref46 doi: 10.1080/20477724.2018.1503268 – ident: ref12 doi: 10.3390/s20051521 – ident: ref56 doi: 10.2196/20477 – ident: ref74 doi: 10.1186/s12920-020-0715-0 – ident: ref6 doi: 10.3390/s20102913 – ident: ref65 doi: 10.1038/s41467-019-08874-y – ident: ref7 doi: 10.3390/s20010282 – ident: ref55 doi: 10.1007/s10916-020-01616-4 – ident: ref97 doi: 10.1016/j.csi.2021.103520 – ident: ref108 doi: 10.3390/ijerph16203847 – ident: ref47 doi: 10.3390/ijerph15061055 – ident: ref95 doi: 10.3390/brainsci10030183 – ident: ref84 doi: 10.1016/j.pcad.2019.08.002 – ident: ref53 doi: 10.1007/s13369-020-04950-4 – ident: ref92 doi: 10.1111/codi.14066 – ident: ref45 doi: 10.1080/02763869.2017.1332261 – ident: ref88 doi: 10.3390/s20133760 – ident: ref103 doi: 10.2196/28496 – ident: ref76 doi: 10.2196/13601 – ident: ref27 doi: 10.2196/13556 – ident: ref37 doi: 10.1007/s10916-018-0996-4 – ident: ref89 doi: 10.2196/12426 – ident: ref105 doi: 10.1016/S0140-6736(19)30948-1 – ident: ref1 doi: 10.1186/s12916-019-1296-7 – ident: ref23 doi: 10.2196/13600 – ident: ref99 doi: 10.1038/s41569-019-0294-y – ident: ref101 doi: 10.2196/13649 – ident: ref63 – ident: ref25 doi: 10.2196/13592 – ident: ref64 doi: 10.1186/s13063-017-2035-z – ident: ref20 doi: 10.1016/j.cose.2020.101966 – ident: ref87 doi: 10.4258/hir.2017.23.1.4 – ident: ref35 doi: 10.2196/16887 – ident: ref49 doi: 10.1089/omi.2020.0085 – ident: ref9 doi: 10.3390/s19224862 – ident: ref16 doi: 10.1109/SERA.2019.8886792 – ident: ref83 doi: 10.1109/ccgrid.2017.8 – ident: ref18 doi: 10.2196/13385 – ident: ref62 doi: 10.1097/ACM.0000000000002326 – ident: ref70 doi: 10.2196/22013 – ident: ref29 doi: 10.1109/ACCESS.2017.2730843 – ident: ref14 doi: 10.1109/BigDataCongress.2017.85 – ident: ref22 doi: 10.2196/13598 – ident: ref32 doi: 10.1109/JBHI.2020.2969648 – ident: ref3 doi: 10.5455/aim.2019.27.284-291 – ident: ref78 doi: 10.18632/oncotarget.22345 – ident: ref73 doi: 10.1093/jamia/ocaa023 – ident: ref17 – volume: 2018 start-page: 1167 year: 2018 ident: ref68 publication-title: AMIA Annu Symp Proc – ident: ref79 doi: 10.1109/healthcom.2016.7749510 – ident: ref39 doi: 10.1007/s10916-018-0982-x – ident: ref100 doi: 10.3390/s19153319 – ident: ref13 doi: 10.1007/s10278-019-00310-3 – ident: ref34 doi: 10.1159/000504325 – ident: ref81 doi: 10.2196/14184 – ident: ref36 doi: 10.1007/s10916-019-1468-1 – ident: ref107 doi: 10.2196/17423 – ident: ref42 doi: 10.3390/s19102394 – ident: ref52 doi: 10.1016/j.spc.2020.10.019 – ident: ref44 doi: 10.1016/j.ijpe.2020.107882 – ident: ref57 doi: 10.1016/j.techfore.2020.120431 – ident: ref10 doi: 10.1016/j.ijmedinf.2020.104246 – ident: ref19 doi: 10.1016/j.csbj.2018.06.003 – ident: ref26 doi: 10.2196/13563 – ident: ref69 doi: 10.12688/f1000research.9756.1 – ident: ref96 doi: 10.3390/s20123604 – ident: ref90 doi: 10.1177/1740774515597701 – ident: ref33 doi: 10.2196/13767 – ident: ref75 doi: 10.1101/gr.207464.116 – ident: ref11 doi: 10.1371/journal.pone.0163477 – ident: ref50 doi: 10.30953/bhty.v2.38 – ident: ref106 doi: 10.3390/jpm9030035 – ident: ref40 doi: 10.2196/mhealth.7938 – ident: ref61 doi: 10.1007/s10278-019-00246-8 – ident: ref77 doi: 10.1155/2020/2452683 – ident: ref41 doi: 10.3390/ijerph15081627 – ident: ref94 doi: 10.1016/j.amjmed.2019.12.016 – ident: ref104 doi: 10.2196/18619 – ident: ref15 doi: 10.1016/j.ijmedinf.2019.104040 – ident: ref31 doi: 10.1007/s10916-018-0993-7 – ident: ref67 doi: 10.2196/18938 – ident: ref102 doi: 10.2196/17199 – ident: ref8 doi: 10.1093/jamia/ocy185 – ident: ref2 doi: 10.1186/s12942-018-0144-x – ident: ref72 doi: 10.1093/jamia/ocx068 – ident: ref60 doi: 10.1007/s10916-020-01628-0 – ident: ref93 doi: 10.2196/17508 |
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Snippet | As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed... Background: As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies... BackgroundAs a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have... |
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SubjectTerms | Application Biomedical research Blockchain Classification Computerized medical records Computerized physician order entry Confidentiality Consortia Coronaviruses COVID-19 Cryptography Data Management Decentralization Electronic Health Records Epidemics Health care industry Health information Health insurance Health records Health services Humans Information sharing Integrated care Internet of Things Literature reviews Medical libraries Medical technology Metadata Pandemics Patients Personal health Privacy Product safety Review SARS-CoV-2 Supply chains Systematic review Wearable computers |
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Title | Applications of Blockchain in the Medical Field: Narrative Review |
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