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 timestamp storing mechanism. Finally, superiority over existing schemes is identified to improve personal data (PII) privacy and patient-centric outcomes research (PCOR).
Highlights
Shared decision-making (SDM) has been used as an optimum way of health care decision sharing among healthcare practitioners
We have proposed an off-the-chain consortium blockchain scheme for collaborative medical decision-making that includes the security of blockchain and privacy of personal data
We have presented the proof of familiarity (PoF), a consensus gathering algorithm, designed to assimilate medical decisions of healthcare stakeholders
Summary
Shared decision-making (SDM) has been used as an optimum way of health care decision sharing among healthcare practitioners. Collaborative decision-making happens when individuals (two or more) underwrite diverse expertise and skill to the decision-making mechanism [1]. Studies [2,3]. Have already inspired clinicians to use SDM while providing preventive health and medical verdicts. Collaborative medical decision-making exchanges sensitive electronic health records (EHRs) and personal health records (PHRs) among healthcare entities like insurance companies, cured patients, researchers, doctors, drug distributors, pharmacists, etc.
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