QII Research Library
Evidence-grounded publications on healthcare AI quality, Medicare Advantage, governance, validation, implementation, and measurable outcomes.
Featured Publications
QII publications distinguish what the evidence supports, where uncertainty remains, and what healthcare leaders should require before relying on AI for quality improvement.
QII Healthcare AI Quality Framework™
A six-domain framework for evaluating whether healthcare AI is strategically aligned, data-ready, analytically credible, operationally implemented, governed responsibly, and connected to measurable outcomes.
The State of AI in Medicare Advantage Quality
An evidence-based examination of where AI is supporting Medicare Advantage quality work, where published evidence remains limited, and why predictive performance alone does not demonstrate quality improvement.
Healthcare AI Buyer Due-Diligence Checklist
A practical buyer tool for evaluating healthcare AI evidence, governance, implementation readiness, equity, outcome attribution, and post-deployment accountability.
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Controlled Research Standards
QII public research is developed through a controlled process that includes source qualification, structured evidence tables, claim-level verification, citation review, executive review, editorial freeze, design quality assurance, and final release quality assurance. QII does not publish client-derived benchmarks or outcome claims unless the supporting data and methods have been appropriately established.
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