Main article

Nur Aina Rahman
College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Malaysia.
Lim Wei Han
Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Malaysia
Farhan Ahmad*
Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
farhanahmad@utem.edu.my

DOI: https://doi.org/10.63646/jaihbe.2023.010302

Abstract

Tokenized healthcare data rights can make consent, purpose limitation, expiry, and revocation auditable, but they also create a difficult exchange problem. A participant that releases a restricted data right should not receive an unrestricted right simply because a matching algorithm finds a welfare-improving cycle. This article develops an equal-term matching framework for tokenized healthcare data rights under smart-contract restrictions. Each contract combines a data-right token with a restriction term, and the equal-term property requires the received term to match the term under which the participant's endowed right is released. We adapt a dual top-trading-cycle mechanism to the healthcare setting and propose a smart-contract architecture that keeps clinical data off-chain while recording verifiable consent, term, and settlement events. A 500-market simulation shows that equal-term dual matching preserves most welfare gains from exchange while eliminating term-mismatch violations, supporting a practical balance between allocative efficiency and patient-centered rights consistency.

Article details

How to Cite

Rahman, N. A. ., Han, L. W. ., & Ahmad, . F. . (2023). Equal-Term Matching for Tokenized Healthcare Data Rights under Smart Contract Restrictions. Journal of AI in Healthcare and Biomedical Engineering, 1(3), 21-46. https://doi.org/10.63646/jaihbe.2023.010302