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E-book

AI for Clinical Operational Efficiency: From Principles to Practice

A health care executive’s guide to driving responsible, evidence-based AI adoption across UM workflows with the right strategic partner.

Turn responsible AI principles into clinical and operational impact

AI can help reduce friction in high-burden clinical and administrative workflows — but only when it is implemented responsibly.  

For health plans, hospitals and health systems, success depends on more than automation. Leaders need evidence-based models, clear human oversight, explainable recommendations, strong privacy and security safeguards, and partner accountability throughout the AI lifecycle.

AI adoption has reached an inflection point. Organizations with clear governance, practical guardrails and accountable partners are well positioned to scale AI responsibly and reduce risk.  

Download the e-book to learn how responsible AI can support clinical operational efficiency — from principles, to practice, to partnership.

Industry insights

Report

A busy end to 2026 for new drug approvals

Three anticipated approvals could reshape care in hepatitis B, stroke prevention and obesity. Explore the therapies poised to make an impact before year-end.

On-demand webinar

Advancing retrospective risk adjustment to support point-of-care impact

Watch the webinar to gain practical strategies for enhancing retrospective risk adjustment performance.

Article

A smarter approach to pelvic floor care

An overlooked benefits opportunity: Pelvic floor disorders impact nearly a third of women, yet health plans don’t always address their needs.