Health visit preparation pack
Organize symptoms, dates, medicines, and questions into a factual note for the visit.
What this workflow does
Organize symptoms, dates, medicines, and questions into a factual note for the visit. It produces a source-linked draft, validates it against policy, and keeps publication or system updates behind an explicit approval.
What you gain
The clinician gets a clearer history without the agent diagnosing anything.
What the AI agent changes
How this worked before
Templates could merge known fields, but they could not understand source documents or adapt the draft to exceptions.
What the AI agent changes
The agent reads source material, drafts the right version for the case, cites evidence, and leaves the final send or write to a person.
Agent trigger
A medical appointment is scheduled and the user starts preparation.
Inputs
- Process context: user-provided symptoms, dates, medicines, records, and questions
- Approved policies, ownership, and exception rules
Agent flow
- 1
Assemble the current source material, template, and policy version.
- 2
Draft only claims that can be linked to allowed evidence.
- 3
Prepare a factual chronology and unanswered question list and mark every unresolved exception.
- 4
Publish or write back only the approved version.
Human decisions
After step 3
The accountable process owner approves a factual chronology and unanswered question list.
Outcome
- User-approved visit note
- Evidence, exceptions, and audit trail
Guardrails
- Never publish, send, or post without the named approval.
- Keep templates, policies, and source timestamps visible to the reviewer.
Risks and mitigations
Unsupported claims can enter a customer-facing or regulated record.
Attach evidence to material claims and block approval when citations are missing.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.
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