TriZetto Provider Solution, USA.
World Journal of Advanced Research and Reviews, 2025, 26(01), 1906-1918
Article DOI: 10.30574/wjarr.2025.26.1.1216
Received on 03 March 2025; revised on 08 April 2025; accepted on 11 April 2025
This article explores the integration of artificial intelligence with healthcare interoperability frameworks like TEFCA and FHIR to transform patient data ownership and accessibility. By enhancing data exchange capabilities while fortifying security measures, AI enables more proactive care delivery through predictive analytics, automated data harmonization, and real-time clinical decision support. The convergence of these technologies creates unprecedented opportunities for patient empowerment through intuitive health dashboards and intelligent consent management systems. Particularly promising is the potential to maintain patient autonomy during periods of incapacitation through AI-powered advanced directive implementation, dynamic trust networks, and context-aware access controls. The article addresses implementation challenges related to technical integration, algorithmic transparency, and workforce development, while emphasizing the importance of collaborative governance structures and incremental deployment strategies in building a truly patient-centered healthcare data ecosystem.
Artificial Intelligence; Blockchain; Healthcare Interoperability; Patient Autonomy; Trust Networks
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Santosh Ratna Deepika Addagalla . Revolutionizing healthcare: AI-enhanced patient data ownership and trust networks. World Journal of Advanced Research and Reviews, 2025, 26(01), 1906-1918. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1216.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0