Assess and Prioritize Agentic AI Use Cases in Healthcare
Assess agentic AI use cases with a triage model that connects fit, guardrails, and value.
- Leadership and economic pressures are pushing CIOs to approve agentic AI before accountability, liability, and clinical governance approaches are settled.
- Healthcare AI governance is internally fragmented: Committees, risk owners, and clinical leaders rarely share one rubric for what means to advance a use case to the pilot stage.
- Platform position (EHR-native, EHR-adjacent, overlay, or internal) materially changes what controls the organization has and changes the approach to the use case evaluation process.
- Agentic AI adoption pressure is outpacing governance maturity, leaving CIOs without a defensible way to say yes, no, or not yet.
Our Advice
Critical Insight
- The unit of approval is not the use case or the vendor, but rather the specific agentic behavior, in a named workflow, on a named platform. Providers need to evaluate and approve use cases at this level of granularity.
- Workflow fit, downstream exposure, and containment are screening dimensions, helping determine which use cases don’t belong under consideration.
- Platform position determines risk and triage treatment. EHR-native, adjacent, overlay, and internal deployments each carry different audit, override, and rollback profiles, and each demands a different governance posture.
Impact and Result
- A shared understanding of agentic AI concepts, vocabulary, and practical fit for healthcare providers.
- A structured set of candidate use cases mapped to business capabilities and screened for structural fit, workflow fit, downstream exposure, containment before any priority scoring exercises is done.
- A scored, visually represented agentic AI portfolio that supports confident, defensible prioritization.
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What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
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Get the help you need in this 3-phase advisory process. You'll receive multiple touchpoints with our researchers, all included in your membership.
Guided Implementation 1: Define and Anchor the Context
- Call 1: Align on fundamental agentic AI concepts.
- Call 2: Anchor AI capability to business contexts.
Guided Implementation 2: Identify and Assess Use Cases
- Call 1: Review the tool structure and scoring model.
- Call 2: Identify candidate use cases across value stream domains.
- Call 3: Confirm structural fit of use cases.
Guided Implementation 3: Prioritize and Validate the Portfolio
- Call 1: Score use cases for prioritization.
- Call 2: Apply (conditional) clinical gating.
- Call 3: Review and validate use case portfolio.
Contributors
- Darilyn Doublehead, Clinical Solutions Architect, Cherokee Health Services
- Eric Ammonds, Lead Executive, Enterprise Business Solutions, Arkansas Blue Cross & Blue Shield
- Derek Spicer, Vice President/CTO, Xtensys