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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 using a structured clinical documentation workstation in a hospital corridor

Featured Now

From Meetings to Modules: Redefining Clinical Coordination

Clinical teams do not move slowly because clinicians are slow. They move slowly because pages, meetings, and verbal handoffs force physicians to keep re-explaining decisions that software should carry forward.

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

170

Published Essays

439

Recurring Topics

MFM

Clinical Specialty

ATL

Clinical Base

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Physician-developer reviewing maternal-fetal medicine documentation and software code at a dual-monitor workstation
AI in Medicine Featured

Surviving the AI-Native Transformation: A Physician-Developer's Guide

AI makes clinical software cheap to produce. It does not make it safe. Physician-developers must build systems in which speed remains subordinate to evidence, judgment, and the doctor-patient relationship.

· 6 min read
ai-nativeclinical-aiphysician-developer
Diagram showing an email flowing through Gmail, an Apps Script gear, a distributed node graph, and GitHub into a locked notebook
Technology Featured

Weekend Project: Sending Emails to My Second Brain

I built a pipeline that turns any email into a tagged Markdown note in my Obsidian vault, using nothing but Gmail, Apps Script, and the GitHub API.

· 8 min read
obsidianautomationapps-script
Layered, glowing knowledge graph representing a physician's longitudinal memory of a patient across years of clinical data
AI in Medicine Featured

AI's Next Breakthrough Is Not a Bigger Brain. It Is a Memory You Can Trust.

The AI race has been about model size for years. The real bottleneck is memory: trustworthy, auditable knowledge that persists across years, not conversations. Medicine will feel this shift first.

· 10 min read
ai-agentsagentic-aiknowledge-systems
Smartwatch, smart ring, and laptop with abstract medical-record data flows on a clinician desk
Health Data Architecture Featured

Patient Data Liberation Is Not Patient Data Protection

Wearables connected to medical records are not just a patient-access story. They are a boundary-design problem for doctors who code.

· 9 min read
health-data-privacywearableshipaa
Clinic workstation with dual monitors, local GPU tower, and ultrasound equipment in a quiet medical office
Infrastructure Imperative Featured

Why Your Clinic Workstation Needs a GPU

A clinic workstation with local GPU inference changes the privacy, latency, and ownership posture of clinical AI workflows.

· 7 min read
local-llmgpuclinical-ai

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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