Custom GPT: Your Personal AI Draft Review Specialist

For Medical Transcriptionists

Tools: ChatGPT Plus | Time to build: 1-2 hours | Difficulty: Intermediate-Advanced Prerequisites: Comfortable using ChatGPT for terminology research — see Level 3 guide: "Deep Specialty Research for Unfamiliar Procedures"

What This Builds

A Custom GPT configured specifically for reviewing AI-generated transcription drafts in your specialty — trained on the most common error patterns Dragon Medical One and M*Modal make in cardiology, radiology, orthopedics, or whichever specialty you focus on. Instead of reviewing AI drafts with only your memory and habits as your guide, you have a systematic AI assistant flagging the exact categories of errors you're most likely to miss under production pressure.

Prerequisites

• ChatGPT Plus subscription — {{tool:ChatGPT.price}} ({{tool:ChatGPT.plan}}) — required for Custom GPTs
• At least 1 month of experience reviewing AI-generated transcription drafts in your specialty
• A list of error types you've personally encountered (even rough notes work)

The Concept

A Custom GPT is like a specialized coworker who only knows one job — reviewing AI transcription drafts — and knows it deeply. You train it once with your specialty's common AI error patterns, and then every time you open a new conversation in that GPT, it's already focused and ready. Unlike a generic ChatGPT conversation where you have to re-explain the context every time, the Custom GPT starts from your established setup automatically.

Build It Step by Step

Part 1: Access the Custom GPT Builder

1. Go to {{tool:ChatGPT.url}} and sign in to your Plus account
2. Click on your profile picture → My GPTs
3. Click Create a GPT (green button)
4. You'll see two panels: a chat-based "Configure" interface on the left and a preview on the right

What you should see: A builder interface with a friendly "GPT Builder" assistant asking what you want to create.

Part 2: Configure Your Draft Review GPT

Instead of using the chat-based configurator, click the Configure tab at the top for direct control. Fill in each field:

Name:

[Specialty] Transcription Draft Reviewer

(e.g., "Cardiology Transcription Draft Reviewer")

Description:

Reviews AI-generated medical transcription drafts for errors in medical terminology, homophones, dosages, and specialty-specific pitfalls.

Instructions (paste this full block, customized for your specialty):

You are a medical transcription quality review assistant specializing in [specialty] documentation.

Your job: When I paste text from an AI-generated transcription draft, review it and flag any likely errors. Do NOT flag correct text — only flag items that are genuinely suspicious.

Flag these categories:
1. HOMOPHONES — terms that sound right but may be wrong (ileum vs ilium, discrete vs discreet, peri- words)
2. DRUG ERRORS — dosages that seem implausible for the route/condition, drug names transcribed phonetically
3. LATERALITY — missing or incorrect left/right/bilateral designations
4. ABBREVIATIONS — expanded incorrectly or used in wrong context for [specialty]
5. NUMBERS — measurements, lab values, or dosages that fall outside typical ranges for this specialty
6. ANATOMY — anatomical terms that may have been swapped for similar-sounding terms
7. IMPLAUSIBLE PHRASES — complete sentences where the clinical meaning doesn't make sense

Output format: For each flagged item, give:
- The flagged text (quoted)
- The category from the list above
- Why it's suspicious
- The most likely correct version

If nothing is suspicious, say "No flags — draft looks clean."

CRITICAL RULES:
- Never assume the text contains PHI — I will only paste sanitized, de-identified text
- Do not rewrite the entire document — only flag suspicious items
- Be conservative: only flag items you're genuinely uncertain about, not every term

Conversation starters (add these):

• "Review this cardiology draft for errors"
• "Flag any suspicious terminology in this text"
• "Check this operative note draft"

1. Click Save and set visibility to Only me

What you should see: Your Custom GPT appears in "My GPTs" with your specialty name.

Part 3: Test and Refine

1. Open your new Custom GPT from "My GPTs"
2. Generate a test draft using the Level 1 anatomy primer prompt — then deliberately introduce 3-4 common errors (wrong homophone, wrong laterality, wrong dosage)
3. Paste the test draft and ask it to review

What you should see: The GPT flags your planted errors with clear explanations. If it misses planted errors or flags correct text, go back to Configure and refine the Instructions.

Calibration questions to run:

• "Why did you flag [term] — it looks correct to me?" (refines false positive rate)
• "You missed [error type] — add this to your review checklist" (updates your instructions)

Real Example: Cardiology Operative Note Review

Setup: You've configured a Cardiology Transcription Draft Reviewer with cardiology-specific error patterns.

Input (sanitized — no PHI):

Patient underwent placement of a WATCHMAN FLX device under florescent guidance. Transeptal puncture was performed. The devise was deployed without complications. Patient tolerated the right atrial appendage occlusion procedure well.

Output from your Custom GPT:

• FLAG (Homophones/Spelling): "florescent" — likely "fluoroscopic" in this surgical context
• FLAG (Spelling): "Transeptal" — standard spelling is "transseptal"
• FLAG (Spelling): "devise" — should be "device" (verb vs. noun confusion)
• FLAG (Anatomy): "right atrial appendage" — the WATCHMAN device closes the left atrial appendage (LAA), not the right. This is a significant clinical error.

Time saved: Catching the "right/left atrial appendage" error manually requires deep cardiology knowledge under time pressure. The GPT flags it systematically in 10 seconds.

What to Do When It Breaks

• Flags too many false positives → Add to Instructions: "Reduce sensitivity — only flag items where you are 70%+ confident there's an error"
• Misses errors you're finding → After your shift, go to Configure and add: "Also flag: [the error type you found]"
• Responses get generic → Start fresh conversations instead of continuing long threads; Custom GPTs work best in fresh sessions
• Can't handle your specialty's terms → Upload a PDF of common specialty terminology to the Custom GPT's knowledge base (Configure → Knowledge → Upload files)

Variations

• Simpler version: Instead of a Custom GPT, save a detailed review prompt as a ChatGPT "custom instruction" and paste it at the start of each review session
• Extended version: Upload your facility's style guide PDF to the GPT's knowledge so it can also flag formatting errors, not just terminology

What to Do Next

• This week: Build the GPT, test it with 5 real (sanitized) draft samples, and calibrate the sensitivity
• This month: Use it for every AI draft you review; keep a log of errors it catches vs. misses to continue refining
• Advanced: Build a separate GPT for each specialty you work in — a radiology reviewer has very different error patterns than a cardiology reviewer

Advanced guide for medical transcriptionist professionals. Requires ChatGPT Plus subscription. Tool interfaces may change.