CLINICAL AI
Clinical AI and healthcare agents
Practical guides for clinics deciding what an AI agent should see, suggest, prepare, execute or refuse.
Published by Kalibra. Last reviewed 19 September 2026. These guides are educational and do not replace clinical, legal or regulatory advice.
Five questions that expose how an agent really works
Start with mechanism and authority. Then test the workflow under missing evidence, conflicting evidence and failure.
AI Agents in Healthcare: What They Are and Where Clinicians Stay in Control
Learn what makes healthcare AI an agent, how it differs from a chatbot or copilot, and where clinicians must retain decision authority.
How a Clinician-Controlled Health Agent Produces a Recommendation
See the evidence chain a clinician-controlled health agent should follow before a recommendation reaches a practitioner.
The Between-Visit Gap: How AI Agents Keep Care Plans Alive
A practical model for using governed AI agents to support approved care plans, track progress and return exceptions for clinical review.
Human-in-the-Loop Is Not Enough: Five Levels of Authority for Clinical AI
Use Kalibra’s five-level authority model to define what a clinical AI system may inform, suggest, prepare or execute.
How to Evaluate an AI Agent for a Functional or Longevity Clinic
Use this practical scorecard and failure-first demo script to evaluate AI agents for functional medicine and longevity clinics.
Foundations: data, workflow and responsible AI
These earlier Kalibra articles provide useful background on connected data, clinical context and human review.
How generative AI will change your health journey
How AI can support curation and context without replacing clinical judgement.
Three types of health AI and where each falls short
A comparison of common health AI approaches and their limits.
The AI mirage: healthcare data must come first
Why stronger models do not repair fragmented health data.
Preparing your medical practice for AI
A practical guide to workflow, data readiness and patient trust.
