Blockchain technology applications in the health domain : a multivocal literature review

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manus...

Description complète

Détails bibliographiques
Publié dans:The Journal of supercomputing. - 1998. - 79(2023), 3 vom: 16., Seite 3112-3156
Auteur principal: Baysal, Merve Vildan (Auteur)
Autres auteurs: Özcan-Top, Özden, Betin-Can, Aysu
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:The Journal of supercomputing
Sujets:Journal Article Blockchain Formal literature Gray literature Health domain challenges Multivocal literature review Software development
LEADER 01000caa a22002652c 4500
001 NLM345773101
003 DE-627
005 20250303191016.0
007 cr uuu---uuuuu
008 231226s2023 xx |||||o 00| ||eng c
024 7 |a 10.1007/s11227-022-04772-1  |2 doi 
028 5 2 |a pubmed25n1152.xml 
035 |a (DE-627)NLM345773101 
035 |a (NLM)36060094 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Baysal, Merve Vildan  |e verfasserin  |4 aut 
245 1 0 |a Blockchain technology applications in the health domain  |b a multivocal literature review 
264 1 |c 2023 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Revised 10.09.2024 
500 |a published: Print-Electronic 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 
520 |a Blockchain technology has been changing the nature of several businesses, from supply chain management to electronic record management systems and copyright management to healthcare applications. It provides a resilient and secure platform for modifications due to its distributed and shared nature and cryptographic functions. Each new technology, however, comes with its challenges alongside its opportunities. Previously, we performed a systematic literature review (SLR) to explore how blockchain technology potentially benefits health domain applications. The previous SLR included 27 formal literature papers from 2016 to 2020. Noticing that blockchain technology is rapidly growing, we extended the previous SLR with a multivocal literature review (MLR) approach to present the state of the art in this study. We focused on understanding to what degree blockchain could answer the challenges inherited in the health domain and whether blockchain technology may bring new challenges to health applications. The MLR consists of 78 sources of formal literature and 23 sources of gray literature from 2016 to 2021. As a result of this study, we specified 17 health domain challenges that can be categorized into four groups: (i) meeting regulatory requirements and public health surveillance, (ii) ensuring security and privacy, (iii) ensuring interoperability, and (iv) preventing waste of resources. The analysis shows that blockchain makes significant contributions to the solutions of these challenges. However, 10 new pitfalls come with adopting the technology in the health domain: the inability to delete sensitive data once it is added to a chain, limited ability to keep large-scale data in a blockchain, and performance issues. The data we extracted during the MLR is available in a publicly accessible online repository 
650 4 |a Journal Article 
650 4 |a Blockchain 
650 4 |a Formal literature 
650 4 |a Gray literature 
650 4 |a Health domain challenges 
650 4 |a Multivocal literature review 
650 4 |a Software development 
700 1 |a Özcan-Top, Özden  |e verfasserin  |4 aut 
700 1 |a Betin-Can, Aysu  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t The Journal of supercomputing  |d 1998  |g 79(2023), 3 vom: 16., Seite 3112-3156  |w (DE-627)NLM098252410  |x 0920-8542  |7 nnas 
773 1 8 |g volume:79  |g year:2023  |g number:3  |g day:16  |g pages:3112-3156 
856 4 0 |u http://dx.doi.org/10.1007/s11227-022-04772-1  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 79  |j 2023  |e 3  |b 16  |h 3112-3156