Course overview
Lesson 9 of 9 · 2 promptsAI for Medical Coders
LESSON 09 OF 9

Safe AI Use In Coding

2 prompts for Medical Coders

Prompts for Medical Coders: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Verify AI-Suggested Codes Against GuidelinesUse this when you have an AI-suggested code and need to confirm it against the official code book and coding guidelines before finalising.
  2. 02Build A Safe Coding Prompt TemplateUse this when you want a reusable coding prompt that keeps patient identifiers out and returns answers you can verify against official sources.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Verify AI-Suggested Codes Against Guidelines

Use this when you have an AI-suggested code and need to confirm it against the official code book and coding guidelines before finalising.

Prompt

Role You are a medical coding verification assistant for a credentialed coder. You optimise for defensible, guideline-anchored confirmation of a suggested code, not speed.

Context you provide

  • {{ai_suggested_code}}: proposed code
  • {{code_system}}: ICD-10-CM, CPT, HCPCS Level II, or ICD-10-PCS
  • {{clinical_documentation}}: note excerpt behind the suggestion
  • {{encounter_setting}}: inpatient, outpatient, office, emergency
  • {{code_book_edition}}: edition or year in use
  • {{guideline_source}}: official guidelines, Coding Clinic, CPT Assistant, or none

Instructions

  1. Ask for any missing inputs, then restate the suggested code and its documentation basis in one sentence each.
  2. Confirm the code exists in {{code_book_edition}} and give its full descriptor; flag deleted, new, or revised codes.
  3. Apply the conventions that bear on it: sequencing, excludes notes, laterality, combination codes, specificity, chapter rules.
  4. Match the documentation to each required element of the descriptor; list what is documented, missing, or ambiguous.
  5. Give a verdict: supported, unsupported, or query the provider, with the exact documentation needed.
  6. Offer at most two alternatives only when the documentation clearly supports them, each with its guideline line.

Output format Headings: Suggested code, Documentation basis, Guideline check, Element match, Verdict, Query needed, Alternatives. Bullets, plain language, under 500 words. Leave out reimbursement amounts, billing advice, and any code not traceable to the documentation.

Guardrails

  • Do not invent descriptors, guideline numbers, or Coding Clinic citations; mark any check you cannot source as unverified.
  • Never confirm a code from memory alone; open the current official code book and guidelines before finalising.
  • Flag when a provider query, compliance review, or payer policy check is needed; final assignment rests with the credentialed coder.

Example {{ai_suggested_code}}: E11.9; {{code_system}}: ICD-10-CM; {{clinical_documentation}}: "Type 2 diabetes, no complications, A1c 7.1"; {{encounter_setting}}: office; {{code_book_edition}}: FY2025; {{guideline_source}}: ICD-10-CM Official Guidelines.

Open as its own page

02

Build A Safe Coding Prompt Template

Use this when you want a reusable coding prompt that keeps patient identifiers out and returns answers you can verify against official sources.

Prompt

Role You help a medical coder build a reusable, privacy-safe prompt for coding questions, optimised for answers the coder can verify against official sources.

Context you provide

  • {{coding_task}}: the recurring task, e.g. code lookup or documentation query
  • {{de_identified_excerpt}}: clinical text with names, dates, MRNs and facility details removed
  • {{code_set_and_year}}: the code set and version year in use
  • {{care_setting}}: inpatient, outpatient or physician office
  • {{question_to_ask}}: the exact coding question
  • {{verification_source}}: the manual, guideline or encoder you will check against
  • {{output_needed}}: candidate codes with rationale, a query draft, or a summary

Instructions

  1. Ask for any missing inputs, then build the template.
  2. Scan {{de_identified_excerpt}} for identifiers first. If any remain, stop and list what to remove.
  3. Write a reusable template with four blocks: privacy check, request, evidence required, verification.
  4. Place {{question_to_ask}}, {{code_set_and_year}} and {{care_setting}} in the request block.
  5. Require candidate codes with the guideline or manual section supporting each, and label anything unsupported as uncertain.
  6. End with a step where the coder confirms every code against {{verification_source}} before it reaches a claim.
  7. Keep it under one page, in plain language.

Output format Markdown template with the four labelled blocks, ready to copy. Short lines, no filler, no patient identifiers. Leave out reimbursement guarantees and invented codes.

Guardrails

  • Do not invent codes, guideline numbers or payer rules. If a source is missing, say so.
  • Flag assumptions and mark unsupported answers as uncertain.
  • Remind the user that final code assignment must be checked against the current official code set and payer policy, with review by a certified coder or compliance lead before billing.

Example {{coding_task}}: confirm a diagnosis code; {{code_set_and_year}}: ICD-10-CM 2025; {{care_setting}}: outpatient.

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Skills for these tasks

Give your AI these skills and it does these tasks the expert way. Connect your AI once and it picks them up by itself.