Blockchain technology and raft consensus for secure physician prescriptions and improved diagnoses in electronic healthcare systems
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články
PubMed
38977868
PubMed Central
PMC11231353
DOI
10.1038/s41598-024-66746-y
PII: 10.1038/s41598-024-66746-y
Knihovny.cz E-zdroje
- Klíčová slova
- Blockchain, Consensus algorithm, Electronic healthcare system, Security, Transparency,
- MeSH
- algoritmy * MeSH
- blockchain * MeSH
- elektronické zdravotní záznamy MeSH
- konsensus MeSH
- lékaři MeSH
- lidé MeSH
- poskytování zdravotní péče MeSH
- zabezpečení počítačových systémů MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
With electronic healthcare systems undergoing rapid change, optimizing the crucial process of recording physician prescriptions is a task with major implications for patient care. The power of blockchain technology and the precision of the Raft consensus algorithm are combined in this article to create a revolutionary solution for this problem. In addition to addressing these issues, the proposed framework, by focusing on the challenges associated with physician prescriptions, is a breakthrough in a new era of security and dependability for the healthcare sector. The Raft algorithm is a cornerstone that improves the diagnostic decision-making process, increases confidence in patients, and sets a new standard for robust healthcare systems. In the proposed consensus algorithm, a weighted sum of two influencing factors including the physician acceptability and inter-physicians' reliability is used for selecting the participating physicians. An investigation is conducted to see how well the Raft algorithm performs in overcoming prescription-related roadblocks that support a compelling argument for improved patient care. Apart from its technological benefits, the proposed approach seeks to revolutionize the healthcare system by fostering trust between patients and providers. Raft's ability to communicate presents the proposed solution as an effective way to deal with healthcare issues and ensure security.
Department of Computer Engineering Mashhad Branch Islamic Azad University Mashhad Iran
Electrical Engineering Department Imam Reza International University Mashhad Iran
Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan
Institute of Research and Development Duy Tan University Da Nang Vietnam
School of Medicine and Pharmacy Duy Tan University Da Nang Vietnam
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