Back to search

Article

FHIRTrustBench: A Benchmark for Interoperability-Driven Clinical AI Readiness and Trustworthiness

2026-07-13

Abstract excerpt

Existing evaluations of healthcare AI often treat interoperability as a technical infrastructure issue rather than a factor that directly influences the safety and reliability of clinical AI systems. Yet the quality of Fast Healthcare Interoperability Resources (FHIR) implementation affects whether AI models can operate accurately, fairly, securely, and effectively in real clinical settings. We present FHIRTrustB...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
752d5c30-05bf-54c5-9dff-b5f10daf076b
DOI
10.64898/2026.07.08.26357574
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
FHIRTrustBench: A Benchmark for Interoperability-Driven Clinical AI Readiness and TrustworthinessDOI 10.64898/2026.07.08.26357574
Real World Performance of the 21st Century Cures Act Population Level Application Programming InterfaceSemantic proximity
The FAIRSCAPE AI-readiness Framework for Biomedical ResearchSemantic proximity
Patient and caregiver perceptions of electronic health records interoperability in the NHS and its impact on care quality: A focus group studySemantic proximity
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language ModelsSemantic proximity
Patient and caregiver perceptions of electronic health records interoperability in the NHS and its impact on care quality: A focus group studySemantic proximity
Vertical Model Paradox: Systemic Ethical Blind Spots in Domain-Specific Medical AISemantic proximity
Clinicians’ Rationale for Editing Ambient AI–Drafted Clinical Notes: Persistent Challenges and Implications for ImprovementSemantic proximity
Framework for Government Policy on Agentic and Generative AI in Healthcare: Governance, Regulation, and Risk Management of Open-Source and Proprietary ModelsSemantic proximity
Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and ImplementationSemantic proximity
Beyond AI Transparency: A Reproducibility-Centred Governance Framework for Adaptive Generative AI Across the Medical Research LifecycleSemantic proximity
Healthcare Providers' Perspectives on Generative Artificial Intelligence (GenAI) Adoption, Adaptation, Assimilation, and Use in the United StatesSemantic proximity
Evaluation of Care Quality for Atrial Fibrillation Across Non-Interoperable Electronic Health Record Data using a Retrieval-Augmented Generation-enabled Large Language ModelSemantic proximity
Select a neighboring publication to make it the new centre.