Abstract

Electronic health records are essential and sensitive since they include vital information and are routinely exchanged across several parties, such as hospitals and private clinics. This data must remain accurate, current, secret, and available only to authorized parties. Integrating these data improves the accuracy and cost-effectiveness of the present health data administration framework. Electronic Medical Records (EMRs) are now kept utilizing the structure of the clientserver via whom patient data information is maintained in the hospital. Multiple hospitals use the same database to track a single patient. These limitations prevent a custom health system from providing various associated experts and patients with a cohesive, integrated, secure, and confidential medical history. Modern healthcare systems are distinguished by their complexity and expense. However, this may be mitigated by enhanced health record management and blockchain technology. The blockchain's data availability, confidence, and security characteristics have a bright future in healthcare services, giving solutions to the issues of the traditional customerserver architecture EMR management platform: intricacy, confidence, dependability, compatibility, and anonymity. An e-health record management based on IoMT (EHRM-IoMT) is proposed in this article. This paper explores and analyzes blockchain efficiency and customerserver paradigms. The findings show that a patient-centered strategy may achieve remarkable success utilizing blockchain. Moreover, the immutable and accurate data of persons in blockchain may enable healthcare practitioners to better forecast and aid with diagnosis utilizing the Internet of Medical Things via machine learning and artificial intelligence (IoMT).

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