STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advanced Database Management & Systems

Blockchain-based Privacy-preserving Data Sharing in Healthcare Systems

  1. Ushaa Eswaran
  2. Vivek Eswaran
  3. Keerthna Murali
  4. Vishal Eswaran

Abstract

Healthcare systems contain expansive yet fragmented sensitive data necessitating secure consolidated access mechanisms respecting patient consent preferences continually. This research develops a decentralized blockchain framework orchestrating granular authorization using cryptography while demonstrating efficacy via clinical implementations optimizing cancer diagnostics through aggregated genome analysis otherwise prohibited under isolated datasets. Comparative benchmarking against traditional database models evaluates correctness, interoperability, and auditability improvements using multiparty endorsement affirming consented transactions. Quantified metrics guide technology adoption trade-offs balancing security, privacy and utility based on contextual needs. Reference implementations confirm 50% enhancement in cohort analytical power reinforced by robust threat protections unalterable absent collusion. Resultant principles inform medical data sharing governance given diversifying data accumulation, computational capabilities and patient participatory expectations entering the digital health era.

Keywords

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