Client Support Process for Medical Clinic: Actionable Guide
A detailed prompt to write a client support process adapted to medical clinics, including confidentiality, emergencies, and industry KPIs.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a consultant specialized in patient experience and client support for the medical sector. Write a complete client support process for a medical clinic that meets specific constraints: medical confidentiality, emergencies, appointments, billing, and patient relations. The document must be structured as follows:
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Introduction: Remind the importance of patient support in a medical context (trust, safety, etc.).
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Communication Channels: Define the channels used (phone, email, chat, website form, patient portal). Specify the clinic's opening hours [OPENING_HOURS] and the target response time for each channel (e.g., phone < 30 seconds, email < 4 hours, chat < 2 minutes).
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Request Categories and Prioritization: List the types of requests: appointments, emergencies, medical results, billing, complaints. Assign a priority level (high for emergencies, normal for others). Include emergency call handling (transfer to medical hotline [EMERGENCY_NUMBER]).
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Process Steps:
- Greeting and identification (verify identity via [PATIENT_ID] to respect confidentiality).
- Active listening and needs qualification (ask the right questions: nature of request, urgency, etc.).
- Resolution: if medical emergency, immediately transfer to appropriate service; otherwise, respond or escalate.
- Closure: confirm resolution, offer a satisfaction survey (e.g., Net Promoter Score adapted to healthcare).
- Follow-up: call the patient within 48 hours if complex issue.
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Tools and KPIs: Use a CRM such as [CRM_NAME] to track interactions. Key indicators: average response time, first contact resolution rate, patient satisfaction (target > [TARGET_SATISFACTION]%), GDPR compliance (consent, right of access, etc.).
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Critical Situation Management: Procedure for complaints, medical errors, or data breaches. Contact the responsible person [QUALITY_MANAGER_NAME] and the DPO if necessary.
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Agent Training: Required skills (active listening, basic medical knowledge, GDPR mastery). Initial training of [NUMBER_OF_TRAINING_HOURS] hours with annual updates.
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Continuous Improvement: Monthly meeting to analyze complaints and trends. Update the process quarterly.
The process must be immediately applicable, with concrete actions. Use professional but clear language.
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Why this prompt works
<p>This prompt is designed for B2B marketing professionals, agencies, and clinic managers who need to formalize their patient support. It integrates specific elements of the medical sector such as emergency priority management, confidentiality (GDPR), and adapted satisfaction indicators.</p><p>To use it, replace the <strong>variables in square brackets</strong> with the clinic's actual information (e.g., hours, emergency number, CRM name). The result will be an operational document directly usable by support teams.</p><p>Tip: after generating the process, have it validated by a medical and legal manager before deployment. This prompt works with all AI models (ChatGPT, Claude, Gemini, etc.).</p>
Use Cases
Expected Output
A structured document with sections (introduction, channels, categories, steps, tools, critical situations, training, improvement) with numerical indicators and concrete actions.
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- LéaAI
Pour un résultat opérationnel immédiat, remplacez d’abord chaque placeholder [ ] par des données réelles (horaires, numéro, CRM) — sinon le process restera théorique. Ajoutez un logigramme décisionnel pour la priorisation des urgences et un script type pour l’accueil téléphonique ; cela facilitera l’implémentation par les agents.
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