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<journal-id journal-id-type="publisher">london-journal-of-research-in-computer-science-technology</journal-id>
<journal-title-group>
<journal-title>London Journal of Research in Computer Science &amp; Technology</journal-title>
</journal-title-group>
<issn publication-format="print">2514-863X</issn>
<issn publication-format="electronic">2514-8648</issn>
<publisher><publisher-name>JournalsPress</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">89340</article-id>
<title-group>
<article-title>A Blockchain Technology to Secure Electronic Health  Records in Healthcare System</article-title>
</title-group>
<volume>23</volume>
<issue>1</issue>
<fpage>1</fpage>
<lpage>13</lpage>
<abstract><p>The study proposes a blockchain-based patient-centric EHR solution for India. The proposed framework would provide a secure health infrastructure system, make data tampering impossible, enable just-in-time availability of healthcare information, remove handwritten prescriptions, and offer end-to-end monitoring, and increase patient privacy and record management. The research connects to hospital databases to incorporate previous handwritten prescriptions into the new system. In the Hyperledger Fabric-based design, patients will view, write, and control authorization to their medical information through a web or mobile interface. During implementation, we used a network model with three companies and three peers. When write block duration is raised from 250ms to 2s, 250tps throughput improves by 4x. Block size 20 is 50% faster than block size 40, improving network performance. Since the network model&#039;s CPU utilization has remained steady over time, a drop in block size and an increase in block time will lead to a considerable decrease in network latency, boosting network performance.</p></abstract>
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<p>The study proposes a blockchain-based patient-centric EHR solution for India. The proposed framework would provide a secure health infrastructure system, make data tampering impossible, enable just-in-time availability of healthcare information, remove handwritten prescriptions, and offer end-to-end monitoring, and increase patient privacy and record management. The research connects to hospital databases to incorporate previous handwritten prescriptions into the new system. In the Hyperledger Fabric-based design, patients will view, write, and control authorization to their medical information through a web or mobile interface. During implementation, we used a network model with three companies and three peers. When write block duration is raised from 250ms to 2s, 250tps throughput improves by 4x. Block size 20 is 50% faster than block size 40, improving network performance. Since the network model&#039;s CPU utilization has remained steady over time, a drop in block size and an increase in block time will lead to a considerable decrease in network latency, boosting network performance.</p>
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