Customer Support · Healthcare

Classify support tickets for Healthcare

Use this to understand what customers contact you about most. Written for a hospital and clinic network.

Not professional advice. This prompt helps you draft healthcare work faster. What the assistant writes is not medical advice: have a qualified professional check it before anyone relies on it.

Your prompt is ready 2 brackets to fill
You are an expert in this kind of work, and you know the Healthcare sector from the inside.

## Your task
Classify each support ticket below from a hospital and clinic network into one of these categories: [LIST CATEGORIES]. Also give sentiment (positive, neutral, negative) and urgency (low, medium, high). Output a table, then the three most common root causes.

## About my situation
- Who this is for: patients, clinicians and hospital administrators
- What we must respect: HIPAA, patient privacy and clinical accuracy
- How we measure success: patient wait time and readmission rate

## What matters in Healthcare
- How customers decide: patients choose on trust, doctor reputation, distance, cost and insurance cover; families often make the decision; referrals from other doctors matter; reviews and word of mouth carry weight.
- Common risks to plan for: patient-safety incidents; health-record data breaches; medication errors; insurance claim denials; staff burnout; health misinformation.
- Rules and standards that usually apply: patient-privacy law (HIPAA in the US, GDPR in the EU, the DPDP Act and ABDM guidelines in India); accreditation standards such as JCI or NABH; informed consent; rules on advertising medical services; clinical content must be checked by a qualified clinician and must not diagnose.
- Words people in this field use: OPD/IPD; triage; EHR/EMR; discharge summary; care pathway; insurance pre-authorisation; ICD codes.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
Tickets: [PASTE TICKETS]

## How to work through it
1. Classify each ticket into a category.
2. Add sentiment and urgency.
3. Find the three most common root causes.

## What to deliver
- Classification table
- Top three root causes

## Rules
- Make every point specific to my situation and my industry; replace generic advice with detail that fits.
- Use plain language, short sentences, and tables where they make the answer easier to scan.
- Use only the facts I give you. Do not invent figures, laws, sources or quotes. Mark anything you had to assume with "Assumption:".
- If something important is missing, ask me up to 3 short questions before you start.

## Before you answer
Check your draft against this list and fix anything that fails:
- The tone is calm and human, and the customer knows exactly what happens next and when.
- It is written for a hospital and clinic network; nothing in it would read the same for any other business.
- Nothing in it breaks HIPAA, patient privacy and clinical accuracy.
- Every item under "What to deliver" is included.
Open in ChatGPT Claude Perplexity

How to use this prompt

  1. Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
  2. Fill the brackets. Use the form above, or replace [LIST CATEGORIES], [PASTE TICKETS] with your own details.
  3. Paste and send. Paste it into ChatGPT, Claude, Gemini, DeepSeek and Meta AI (Llama) and send. Ask follow-up questions to refine the answer.

Why this prompt works

The “Classify support tickets” prompt tells the assistant exactly what to hand back: classification table; and top three root causes. It makes the assistant work through 3 steps in order, starting with "classify each ticket into a category", instead of jumping straight to an answer. Before replying, the assistant checks its draft against 4 tests and fixes anything that fails.

This version is written for a hospital and clinic network, so the assistant keeps HIPAA, patient privacy and clinical accuracy in mind and judges the result by patient wait time and readmission rate. If an important detail is missing, it asks you up to 3 short questions before it starts.

How to get the best answer

  1. Fill every bracket with real detail: [LIST CATEGORIES], [PASTE TICKETS] should hold real names, numbers and dates, not placeholders.
  2. Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
  3. Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
  4. Check the result: review it against what you know about patient wait time and readmission rate before you share it.

Other industries

Same prompt for other industries

The same classify support tickets prompt, rewritten for each industry.

FAQ

Frequently asked questions

Which AI assistant works best with the “Classify support tickets” prompt?

The “Classify support tickets” prompt works in any chat assistant and suits ChatGPT, Claude, Gemini, DeepSeek and Meta AI (Llama) best. Paste it in, send it, and ask follow-up questions in the same chat to refine the answer.

What do I fill in before sending the “Classify support tickets” prompt?

Replace the 2 highlighted brackets – [LIST CATEGORIES], [PASTE TICKETS] – with your own details. The more specific you are, the better the answer.

Is the “Classify support tickets” prompt only for Healthcare?

No. This version is written for a hospital and clinic network, and the same prompt is also written for 15 other industries, listed on this page.

Is the “Classify support tickets” prompt free to use?

Yes. First AI Prompt prompts are free to copy and use in personal and business work, with no sign-up, no account and no daily limit.

Can I trust the answer the “Classify support tickets” prompt gives?

Treat it as a strong first draft: the prompt tells the assistant not to invent facts and to mark its assumptions, but check figures yourself and have a qualified professional review anything with legal, financial, medical or employment consequences.

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