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.
Paste in your AI
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.
Personalize this prompt with Léa
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Why this prompt works
<p>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.</p><p><strong>How to use it:</strong></p><ul><li>Replace [MEETING_TEXT] with the verbatim or notes from your meeting (even a brief summary works).</li><li>Optionally, add [CLINIC_CONTEXT] to refine: clinic size, specialties, ongoing projects (e.g., V2020 certification, opening a new service).</li><li>The AI will generate a complete action plan, ready to be exported to your project management tool (Trello, Notion, Excel).</li></ul><p><strong>Best practices:</strong> 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.</p>
Use Cases
Expected Output
A structured action plan with summary, priorities, detailed actions (responsible, deadline, department, regulatory constraints), monitoring indicators, and next steps.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- 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.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Implement the CQRS Pattern
Implement CQRS for high-load systems
Buyer Lead Qualification Script
Better qualify buyers to avoid wasting time
GitHub Copilot Prompt for Brainstorming Ideas
GitHub Copilot, the AI assistant integrated directly into your code editor, isn't limited to autocompletion. It's a remarkably effective brainstorming partner for exploring project, architecture, or feature ideas. By crafting precise prompts in your code comments or via the Copilot chat, you can generate dozens of creative leads in seconds, where a traditional brainstorming session would take hours. Copilot's main advantage for brainstorming is its technical grounding: unlike a general-purpose tool, it proposes ideas directly applicable to your development context, with a fine understanding of frameworks, architectural patterns, and technical constraints. Whether you're looking to innovate on an existing product, explore new features for an API, or imagine original solutions to a technical problem, Copilot turns your editor into an augmented creativity room. This guide provides optimized prompts to get the most out of this lesser-known capability of GitHub Copilot.
PAS Framework Applied to Headlines
Persuasive copy, sales pages