AI Agents in Healthcare
AI agents in hospitals, health systems, and the work of care: what happened, and what it means for health system leaders and the people who run care. Not medical advice.
Patterns for health system leaders
- Steps Only a Person May Take
Name the actions no agent may take; decisions about a patient's care stay with the people who give it. - Exact Text, Then YesNothing reaches a patient in a clinician's name until the clinician approves the exact words.
- Log Actions, Not ConversationsRecord every action an agent takes, not what people say to it. Health privacy law may set duties of its own.
- Systems Enforce, Instructions GuideWho may see what is enforced by systems and permissions, not only by an agent's instructions.
- Check at the DoorOne review sits at the point of sending: nothing goes out until the exact message has passed it.
AI agents in healthcare, explained
What does “AI agent” mean?
Software that uses an AI model to decide its own steps and use tools to finish a task for someone. More on AI agent
What does “Hallucination” mean?
A hallucination is when an AI system gives an answer that sounds believable and confident but is false or made up. More on Hallucination
What does “Human in the loop” mean?
A person who approves an AI's work at some step. More on Human in the loop
What does “Guardrails” mean?
Checks that stop an agent from doing what it should not, built into the system rather than left to the agent's good behavior. More on Guardrails
What does “AI safety” mean?
AI safety is the work of making sure AI systems do not cause harm, whether by accident, through misuse, or by acting against the wishes of the people responsible for them. More on AI safety
What does “Retrieval-augmented generation (RAG)” mean?
Retrieval-augmented generation (RAG) is a way of building an AI system so it looks up information in a chosen set of documents and uses what it finds to write its answer, instead of answering only from memory. More on Retrieval-augmented generation (RAG)
Our research
Agentic Transformation: Can an Existing Organization of People Learn Every Day with AI Agents?
Our research note on changing an existing organization with agents. It describes an early test at one small nonprofit, and is not specific to healthcare.
This is not medical, legal, financial, or investment advice.
Events in Healthcare
A research workshop on how to measure teams of people and AI agents as both change over time, with examples from healthcare, aviation, and finance. marks our own words: our view, our summaries, and our book. About us · Our research · Our standards · Corrections · Report an error · Write for us · Press · Privacy · TermsPublished by GSSF Press, a program of the Global Student Startup Foundation · 1837 McFarlane Street, San Marino, CA 91108 · [email protected] · WhatsApp +1 213-222-8044