What is an Instruction Prompt in an AI MCU platform?
An Instruction Prompt in an AI medical check-up (MCU) platform is the institution-approved, version-controlled layer of working instructions that tells the AI how to structure a draft, apply approved terminology, and route exceptions. It is not a source of clinical facts and must not override patient data, approved reference material, or physician judgment. Each draft should remain traceable to the instruction version that shaped it.
Clinical facts come from patient data, examination results, reference ranges, and approved medical knowledge sources. The Instruction Prompt has a different job: it tells the AI how to work with those facts. For example, it can define report sections, required fields, naming conventions, missing-data flags, and the point at which a case must be routed to a doctor. It cannot turn an unsupported statement into a clinical fact.
Governance starts before the prompt is used. An authorized institution team approves the instructions, each material change creates a new version, and the resulting draft can be traced to the version in force at that time. The doctor still reviews, edits, rejects, or approves the clinical content. In Micromeet's AI for governed healthcare approach, the instruction layer controls the drafting workflow; it does not become an autonomous clinical authority. AI writes. Doctors decide.
Related questions
What belongs in an MCU Instruction Prompt?+
Who should approve and update an Instruction Prompt?+
How is an Instruction Prompt different from a clinical knowledge source?+
Micromeet — AI for governed healthcare. MCU CoPilot, AI Scribe (Voice-to-EMR), AI Front Desk, Care Loop, Claim Readiness and AI Care Command Center — every output doctor-reviewed. AI writes. Doctors decide. See the public benchmark →