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Doctors Who Code

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

Physician-Developer
AI in Medicine
Maternal-Fetal Medicine
Clinical Workflow
FHIR
Python
TypeScript
Clinical Documentation
Interoperability
Medical Billing
OpenMFM
Bedside Tools

118

Published Essays

302

Recurring Topics

MFM

Clinical Specialty

ATL

Clinical Base

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Three ways into the site

Start with the official profile, the core argument, or a real physician-built project.

Featured

Physician-builder reviewing a PGIS recipe library on a laptop while sketching the system architecture beside a plated meal
Clinical + Code

I Built PGIS Recipes Because Food Systems Need Architecture

PGIS Recipes started as a stack of Marp slide decks. I turned it into a GitHub Pages library because nutrition guidance only compounds when the delivery system is structured, durable, and easy to revisit.

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Recent Posts

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Physician in white coat with ID badge at a desk late at night, laptop showing a Python code editor alongside printed clinical notes
Technology

Why Doctors Should Learn to Code

Not to become programmers. To become the kind of physician who can close the gap between a clinical insight and a working solution.

· 4 min read
physician-developercoding-skillsclinical-innovation
Physician at a workstation reviewing medical images, code, and system monitoring dashboards side by side
Clinical + Code Featured

Doctors Who Code: Build Systems, Not Just Models

A TEDx pitch says physicians should build AI. I agree. But the work that matters is governance, validation, and delivery, not one-afternoon demos.

· 8 min read
aidoctors-who-codemedical-ai
Cinematic physician-developer workflow showing research inputs flowing from Telegram and source materials into structured drafts, PDFs, and a publishable editorial pipeline
Technology Featured

Inbox to Insight: Building the DoctorsWhoCode Engine

Physicians do not have an information problem. We have a conversion problem. Inside the Telegram-driven research engine I built to turn links, papers, transcripts, and videos into drafts, PDFs, and durable editorial records.

· 10 min read
doctors-who-codephysician-developerresearch-automation
Technology Featured

Doctors Who Code: From GitHub to Medical AI

A practical path for physicians who want to move from GitHub basics to building real medical AI projects.

· 4 min read
doctors-who-codegithubphysician-developer
A Jupyter notebook showing a clinical risk calculator being built with Python and scikit-learn
AI in Medicine

Your First Medical AI Project on GitHub: How to Choose One You Will Actually Finish

Most physician-developers never ship their first AI project. The problem is not skill. It is scope. Here is a framework for choosing a project that lands.

· 8 min read
githubmedical-aiphysician-developer

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About the Author

Chukwuma Onyeije, MD, FACOG

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