Building a High-Performance Activity Dashboard for Your Medical Clinic
Prompt to generate a medical activity dashboard with financial, operational, clinical, and patient indicators.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a medical clinic management consultant. Build a comprehensive activity dashboard for a private clinic. The dashboard must include financial, operational, clinical, and patient KPIs. For each indicator, provide: name, calculation formula, update frequency, alert threshold, and data source. Use the following variables: [CLINIC_NAME], [SPECIALTIES] (e.g., cardiology, dermatology), [NUMBER_OF_DOCTORS], [AVERAGE_FEE_BRACKET] (€/consultation), [NUMBER_OF_CONSULTATIONS_PER_DAY], [PATIENT_REIMBURSEMENT_RATE] (public/private). Structure the dashboard into 4 sections: 1) Financial management (revenue, EBITDA, net margin, average cost per consultation, collection delay). 2) Productivity (consultations per doctor per day, consultation room occupancy rate, average consultation time). 3) Clinical quality (readmission rate, protocol adherence indices). 4) Patient experience (NPS, waiting time, complaint rate). For each KPI, specify the ideal benchmark and corrective action if exceeded. Also include a composite overall performance indicator. The dashboard should be usable by a medical director and a B2B marketing team (e.g., to promote the clinic to insurance partners).
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Why this prompt works
<p>This prompt is ideal for creating a strategic dashboard for a clinic. It forces the AI to produce relevant and contextualized KPIs using sector-specific variables such as the number of doctors or the type of specialties.</p><ul><li><strong>How to use it:</strong> Replace the variables in square brackets with your clinic's actual data. Run the prompt in an AI model like GPT-4 or Claude.</li><li><strong>Customization:</strong> Adjust alert thresholds based on your activity. Add specific KPIs for certain specialties (e.g., technical procedure rate in surgery).</li></ul><p>The result will be a structured dashboard, ready to be integrated into a reporting tool (Excel, Power BI, or directly into a presentation).</p>
Use Cases
Expected Output
A comprehensive dashboard with 4 sections, each containing 4 to 6 KPIs with formulas and alert thresholds.
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- LéaAI
Ajoutez une colonne « tendance 3 mois » (▲/▼) pour chaque KPI : sans elle, le tableau fige l’instantané. Pour le NPS et l’EBE, prévoyez aussi un objectif progressif par trimestre, pas seulement un seuil d’alerte. Enfin, distinguez les sources « automatiques » (logiciel de cotation) des « manuelles » (enquête patient) pour sécuriser la reproductibilité.
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