Revolutionizing healthcare: AI-enhanced patient data ownership and trust networks
Year: 2025
Type: article
Abstract: 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.
Author: Santosh Ratna Deepika Addagalla
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409543232