ORCID Profile
0000-0003-3800-3058
Current Organisations
American International University-Bangladesh
,
Deakin University
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Publisher: Institution of Engineering and Technology
Date: 2018
DOI: 10.1049/CP.2018.1371
Publisher: Science Publishing Corporation
Date: 24-08-2018
Publisher: Centre for Research on Islamic Banking and Finance and Business
Date: 05-06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: MDPI AG
Date: 04-2019
DOI: 10.3390/APP9071370
Abstract: The current healthcare sector is facing difficulty in satisfying the growing issues, expenses, and heavy regulation of quality treatment. Surely, electronic medical records (EMRs) and protected health information (PHI) are highly sensitive, personally identifiable information (PII). However, the sharing of EMRs, enhances overall treatment quality. A distributed ledger (blockchain) technology, embedded with privacy and security by architecture, provides a transparent application developing platform. Privacy, security, and lack of confidence among stakeholders are the main downsides of extensive medical collaboration. This study, therefore, utilizes the transparency, security, and efficiency of blockchain technology to establish a collaborative medical decision-making scheme. This study considers the experience, skill, and collaborative success rate of four key stakeholders (patient, cured patient, doctor, and insurance company) in the healthcare domain to propose a local reference-based consortium blockchain scheme, and an associated consensus gathering algorithm, proof-of-familiarity (PoF). Stakeholders create a transparent and tenable medical decision to increase the interoperability among collaborators through PoF. A prototype of PoF is tested with multichain 2.0, a blockchain implementing framework. Moreover, the privacy of identities, EMRs, and decisions are preserved by two-layer storage, encryption, and a timest storing mechanism. Finally, superiority over existing schemes is identified to improve personal data (PII) privacy and patient-centric outcomes research (PCOR).
Publisher: International Association for Educators and Researchers (IAER)
Date: 10-2022
Publisher: IEEE
Date: 27-02-2021
Publisher: IEEE
Date: 08-2019
Publisher: IEEE
Date: 08-2019
Publisher: Elsevier
Date: 2019
Publisher: Springer International Publishing
Date: 2021
Publisher: MDPI AG
Date: 24-09-2019
DOI: 10.3390/APP9193997
Publisher: International Association for Educators and Researchers (IAER)
Date: 2022
Publisher: Walter de Gruyter GmbH
Date: 2019
Publisher: IEEE
Date: 02-2019
Publisher: Springer International Publishing
Date: 2019
Publisher: International Association for Educators and Researchers (IAER)
Date: 04-2018
Publisher: MDPI AG
Date: 23-11-2017
Publisher: IEEE
Date: 02-2019
No related grants have been discovered for Md Mehedi Hassan Onik.