Revolutionizing healthcare: AI-enhanced patient data ownership and trust networks

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17231051
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00
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article

Revolutionizing healthcare: AI-enhanced patient data ownership and trust networks

Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
article

Revolutionizing healthcare: AI-enhanced patient data ownership and trust networks

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
R2M Solution (Italy) (IT)
Partnerships for the goals
Openalex Percentile: Top 34%
Economic and Technological Innovation
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Revolutionizing healthcare: AI-enhanced patient data ownership and trust networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS