Clinical documentation costs clinicians about 2-7 hours daily.
I built a system that generates a draft SOAP note from a voice memo within 60 seconds.
Here's how it works:
A clinician records their consultation dictation and submits it via a simple form. The workflow transcribes the audio with OpenAI Whisper, cleans the transcript, sends it to GPT-4 with a clinical system prompt, and delivers a formatted SOAP note to the clinician's email, which is marked as a draft pending the clinician's review.
In testing, the system accurately captured all documented symptoms, recorded every vital sign and examination finding, produced a clinically logical diagnosis, matched the management plan exactly, and added nothing beyond the original recording.
There were no hallucinations, as I stated in the system prompt. The output was a draft ready for clinical review.
The part I built most deliberately was the human review checkpoint.
Every note starts as pending approval. The clinician, not the AI, is the gate between this draft and any clinical record.
You can see the full workflow in action in the video below.
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A global disaster is about to happen
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More fallacies
This intense AI power-push is really doing signs and wonders.
A global disaster is about to happen
The internet search is going to completely change
More people will ask AI for medical advice
More fallacies
This intense AI power-push is really doing signs and wonders.
Stop treating AI like a fancy Google search.
It’s 2026, and the people pulling ahead are using AI as an autonomous executive assistant, not just a chatbot.
Here is how to upgrade your workflow and reclaim 10+ hours of your week 👇
Save and start doing.
Stop treating AI like a fancy Google search.
It’s 2026, and the people pulling ahead are using AI as an autonomous executive assistant, not just a chatbot.
Here is how to upgrade your workflow and reclaim 10+ hours of your week 👇
Save and start doing.