Medical Chatbots
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Controlling AI Agents in Clinical Products: Scope, Permissions, Approvals and Stop Conditions
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A clinical AI agent does not just answer — it acts. Scope, permissions, approval checkpoints, readable audit trails, tested stop conditions and sycophancy ...

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Human Oversight in Healthcare AI: What Should Happen After the Warning?
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Most healthcare-AI products can produce a warning. Far fewer can answer the questions that follow it: Who sees this warning? How quickly? What can that person ...

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How to Review Red-Flag and Escalation Advice in a Symptom Checker
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A symptom checker's escalation advice is the single highest-stakes sentence it ever produces: "contact your GP today", "go to the emergency department", "this ...

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Why Accurate Medical Content Is Not Enough for a Safe AI Product
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Teams building healthcare AI usually do one thing well: they check the medical content. Clinical reviewers read the chatbot's answers, verify them against ...

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What a Medical Reviewer Notices During the First Ten Minutes of Testing
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What a Medical Reviewer Notices During the First Ten Minutes of Testing First impressions are clinical data. When a medical reviewer opens a health-tech ...

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How to Evaluate AI-Generated Patient Instructions
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How to Evaluate AI-Generated Patient Instructions AI models can draft patient instructions in seconds: how to take a medicine, how to prepare for a procedure, ...

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Ten Clinical-Safety Checks Before Launching a Healthcare Chatbot
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Ten Clinical-Safety Checks Before Launching a Healthcare Chatbot A healthcare chatbot can answer appointment questions, support pre-visit preparation and share ...

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