The Lemonade Machine Problem
Automation in medicine should not be judged against an ideal clinician. It should be judged against real human variance, machine variance, supervision, and the cost of failure.
Official Site · Physician-Developer Journal
The official site of Chukwuma Onyeije, MD, FACOG.
Doctors Who Code is where I write as an Atlanta maternal-fetal medicine specialist and physician-developer building AI tools, clinical documentation systems, and physician-led software.
If you searched for Chukwuma Onyeije MD, Doctors Who Code, or physician-builder essays on AI in medicine, you are in the right place.
Clinical Work
Maternal-Fetal Medicine at Atlanta Perinatal Associates
Builder Focus
AI, documentation, interoperability, and bedside tools
163
Published Essays
425
Recurring Topics
MFM
Clinical Specialty
ATL
Clinical Base
Start Here
Start with the official profile, the core argument, or a real physician-built project.
Official Profile
See the clinical background, public identity, current projects, and the case for physician-built software.
Read the profile →Core Argument
Read the thesis behind Doctors Who Code: doctors should not only use medical technology. They should help author it.
Read the essay →Builder Work
Follow the path from clinical protocol to bedside software in a concrete build teardown.
See the build →Recent Posts
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Automation in medicine should not be judged against an ideal clinician. It should be judged against real human variance, machine variance, supervision, and the cost of failure.
A short introduction to a DoctorsWhoCode series on spreadsheets, tests, and retrieval as the basic discipline of physician-built clinical software.
Excel is often the right first move for a physician-builder. The problem begins when clinical logic stays trapped in a container that can no longer safely hold it.
A clinical calculator is not safer because it is written in code. It becomes safer when its expected behavior is explicit, checked, and protected from silent drift.
Clinical AI earns workflow trust only when its answers are grounded in current, local, auditable knowledge. Retrieval is not a feature. It is infrastructure.
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About the Author
I am a maternal-fetal medicine specialist at Atlanta Perinatal Associates and a physician-developer building AI-powered clinical tools because physicians with domain expertise build better healthcare technology than distant vendors ever will.
I founded CodeCraftMD for physician-led AI documentation and billing systems, and OpenMFM.org for open-source maternal-fetal medicine education.
About Chukwuma Onyeije, MD, FACOG →Official Site
DoctorsWhoCode.blog
Specialty
MFM / High-Risk OB
Credential
MD, FACOG
Project
CodeCraftMD
Project
OpenMFM.org