Back to search

Article

Adaptive FHIR Native AI Governance for Clinical Decision Support: A Modular, Auditable Deployment Framework for Real World Clinical AI

2026-01-29

Abstract excerpt

<title>Abstract</title> <p>Background Clinical artificial intelligence systems are frequently deployed as static decision support tools that apply a single predictive model and threshold across heterogeneous patients, care settings, and time. In real world use, contextual heterogeneity and asymmetric error costs can produce systematic deployment failures even when constituent models have acceptable retrospective...

Topics

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

Identifiers and source

Literature Corpus work
ad671bb2-6b99-5ebd-84fe-ea9293be0a7c
DOI
10.21203/rs.3.rs-8714776/v1
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.
Adaptive FHIR Native AI Governance for Clinical Decision Support: A Modular, Auditable Deployment Framework for Real World Clinical AIDOI 10.21203/rs.3.rs-8714776/v1
Clinical MLOps: A Framework for Responsible Deployment and Observability of AI Systems in Cloud-Native Healthcare PlatformsSemantic proximity
Managing AI-Enabled Uncertainty in Clinical AI Deployment: Mixed-Methods Study of Governance, Workflow, and Organizational Learning in an ICU Decision Support PilotSemantic proximity
Operationalizing Trustworthy AI: A Scalable Framework for Granular Error Analysis and Bias Mitigation in Healthcare ModelsSemantic proximity
Beyond AI Transparency: A Reproducibility-Centred Governance Framework for Adaptive Generative AI Across the Medical Research LifecycleSemantic proximity
The Deferral Frontier: Reliability-Gated Selective Prediction for Clinical AISemantic proximity
From Prediction to Agency: A Constrained Decision Framework and Governance Stack for Agentic AI in Clinical DiagnosticsSemantic proximity
Framework for Government Policy on Agentic and Generative AI in Healthcare: Governance, Regulation, and Risk Management of Open-Source and Proprietary ModelsSemantic proximity
Trust as a Trajectory Property: An Epistemic Dynamics Framework for AI EvaluationSemantic proximity
AM-RAF: An Agentic, Retrieval-Augmented, Uncertainty-Gated Framework for Trustworthy Clinical Decision Support in Resource-Constrained Health SystemsSemantic proximity
A Novel Playbook for Pragmatic Trial Operations to Monitor and Evaluate Ambient Artificial Intelligence in Clinical PracticeSemantic proximity
A Systematic Literature Review on Transparencyand Interpretability of AI models in Healthcare:Taxonomies, Tools, Techniques, Datasets, OpenResearch Challenges, and Future TrendsSemantic proximity
Multisite Real-World Validation of an Electronic Health Record-Integrated Generative Artificial Intelligence Tool for Venous Thromboembolism Risk StratificationSemantic proximity
Select a neighboring publication to make it the new centre.