From Meeting to Action Plan: The Ultimate Prompt for Medical Clinics
Structured prompt to transform medical or administrative meeting minutes into an operational action plan, with roles, deadlines, regulatory constraints, and indicators.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an assistant specialized in medical clinic management. From the meeting minutes or notes below, generate a structured and actionable action plan tailored to the healthcare sector. The plan must include the following elements:
- Executive Summary (2-3 key sentences)
- Priorities: classify actions by order of importance (urgent/important according to the Eisenhower matrix adapted to care)
- Detailed Actions: for each action, specify:
- [ACTION_TITLE] (short name)
- [DESCRIPTION] (what to do, why, with which levers: DPC, CPAM, HR, etc.)
- [RESPONSIBLE] (role: coordinating physician, health executive, DIM, quality manager, nursing management)
- [DEADLINE] (date or mandatory deadline, e.g., "before the next CME", "within 15 days")
- [DEPARTMENT_INVOLVED] (e.g., operating theater, SSR service, technical platforms, administrative)
- [REGULATORY_CONSTRAINTS] (if applicable: HAS, ARS, CNIL, CPAM, agreements)
- Monitoring Indicators: 1-2 measurable KPIs per action (e.g., completion rate, average time, number of incidents)
- Next Steps: schedule for checkpoints and reporting methods (e.g., service staff meeting, management committee)
Meeting Notes (or Keywords): [MEETING_TEXT]
Additional Context (optional): [CLINIC_CONTEXT] (e.g., facility size, specialties, ongoing projects)
Make sure to use precise sector vocabulary: CME, staff, DPC, DIM, ARS, CPOM, EPP, certification, etc.
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Why this prompt works
This prompt is designed for decision-makers and managers of medical clinics (management, CME, quality manager) who need to transform often dense meetings (staff, management committee, CME meeting, etc.) into concrete actions. It incorporates vocabulary and constraints specific to the medical sector: HAS obligations, ARS, CPOM, DPC cycles, certification, etc. How to use it: • Replace [MEETING_TEXT] with the verbatim or notes from your meeting (even a brief summary works). • Optionally, add [CLINIC_CONTEXT] to refine: clinic size, specialties, ongoing projects (e.g., V2020 certification, opening a new service). • The AI will generate a complete action plan, ready to be exported to your project management tool (Trello, Notion, Excel). Best practices: For optimal results, provide detailed notes but no confidential patient information (GDPR compliance). You can also use this prompt for meetings with partners (mutuals, CPAM, ARS) by adapting regulatory constraints.
Use Cases
Expected Output
A structured action plan with summary, priorities, detailed actions (responsible, deadline, department, regulatory constraints), monitoring indicators, and next steps.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Collez les notes brutes (décisions, désaccords, points en suspens) plutôt qu'un CR déjà reformulé : le prompt hiérarchise mieux les tensions non tranchées. Renseignez [CONTEXTE_CLINIQUE] (taille, spécialités, projet en cours), sinon les échéances restent génériques. Faites valider la colonne HAS/ARS/CNIL par le DPO ou le responsable qualité avant diffusion.
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