Integrating Blockchain for Securing and Auditing Patient Eligibility Data in CHIP
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V1I1P107Keywords:
Blockchain, CHIP, Patient Eligibility, Healthcare Data Security, Smart Contracts, Audit Trail, Distributed Ledger Technology (DLT), Data Integrity, Medicaid, HIPAA Compliance, Permissioned Blockchain, Immutable Records, Healthcare Fraud Prevention, Interoperability, FHIR Standards, Identity Management, Access Control, Transparent Data Sharing, Public Health IT, Secure Data ExchangeAbstract
Disjointed data systems, susceptibility to fraud, and the inadequate transparency provide continuous challenges for these verification of patient eligibility and their audits inside the Children's Health Insurance Program (CHIP). Conventional centralized systems struggle to ensure data integrity, provide timely access control, and they create reliable audit trails qualities that could compromise public trust or service performance. In response to these challenges, this article looks at using blockchain technology to provide a distributed, tamper-proof architecture for preserving patient eligibility information. Leveraging the inherent qualities of blockchain immutability, distributed consensus, and the smart contracts our approach offers a secure, open, and automated solution greatly enhancing auditing and verification processes. Designed and tested under simulated circumstances, a functioning prototype proved able to dynamically enforce too many access rules, produce verifiable audit trails, and prevent illicit data changes free from more reliance on a central authority. The findings highlight how this paradigm improves data security and builds confidence among the many other stakeholders including regulatory authorities, payers, and healthcare providers including those of Furthermore, the blockchain-based solution indicates its scalability across state and federal programs as it fits with present legislative efforts aiming at updating healthcare IT infrastructure. Emphasizing the requirement of secure, transparent, and the patient-centered data management models to build a more resilient and more responsible healthcare system, this study offers a reasonable framework for employing the latest technologies in public health administration
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