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
Official Site · Physician-Developer Journal
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
167
Published Essays
432
Recurring Topics
MFM
Clinical Specialty
ATL
Clinical Base
Start Here
Three ways into the site
Start with the official profile, the core argument, or a real physician-built project.
Official Profile
Start with Dr. Chukwuma Onyeije
See the clinical background, public identity, current projects, and the case for physician-built software.
Read the profile →Core Argument
Why physicians should build
Read the thesis behind Doctors Who Code: doctors should not only use medical technology. They should help author it.
Read the essay →Builder Work
See a real physician-built tool
Follow the path from clinical protocol to bedside software in a concrete build teardown.
See the build →Recent Posts
All posts → 
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
The Rare Condition You Have Seen Ten Times
Why a physician's second brain turns scattered rare cases into a queryable clinical registry owned by the clinician who lived them.
· 7 min read
Clinical AI Should Help Us Find the Growth Restriction Cases We Miss
Fetal growth restriction is not just an ultrasound diagnosis. It is a longitudinal data problem. Clinical AI will not replace MFM judgment, but it can help surface the pregnancies whose risk is already visible in the record.
· 9 min read
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.
· 4 min read
Explore
Follow the topics that define the work
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