HealthBench Professional shows AI has already crossed the threshold in clinical writing and documentation. The real lesson is not replacement. It is that physician-developers need to build the harness.
Deep work is not a productivity hack for doctors. It is a clinical safety issue, a training issue, and a systems design issue. Physicians need to protect deep thinking and automate the shallows.
Documentation automation is not a typing solution. It is a workflow design problem. For physicians and physician-developers, the real goal is protecting clinical judgment from administrative drag.
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.
Not to become programmers. To become the kind of physician who can close the gap between a clinical insight and a working solution.
A TEDx pitch says physicians should build AI. I agree. But the work that matters is governance, validation, and delivery, not one-afternoon demos.
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.
A practical path for physicians who want to move from GitHub basics to building real medical AI projects.
Race-based clinical algorithms in kidney care and obstetrics did not just reflect bias. They operationalized it. Physicians now have a responsibility to challenge the software, logic, and architecture that turn racial fiction into patient harm.
InboxDetox is an AI-powered email unsubscribe manager built in two evenings and deployed to Railway. It is on GitHub. Take it.
They are not asking it for fun. They are asking it because the triage line puts them on hold for 45 minutes. The threat is not the technology. The threat is the system that made the technology necessary.
Physician passivity in health tech is not an accident. It is a business model. Understanding the structural incentives is the first step to building outside of them.
Before you build any AI feature, you must first build the log. The principle every physician-developer needs to internalize before writing a single line of intelligence code.
Every physician who codes started somewhere that had nothing to do with clinical AI. The first build is about identity formation, not impact. Here is why that distinction matters, and where to actually start.
Every physician using an AI tool has heard the liability question. Most of us answer it wrong. The real answer is not about insurance. It is about who was in the room when the tool was designed.
A Maternal-Fetal Medicine specialist describes how his personal AI health system identified low HRV, recommended breathing exercises, and prompted him to build a custom evidence-based breathing app in a single afternoon. A case study in disposable software, physician agency, and the future of personal health technology.
By Dr. Chukwuma Onyeije, MD, FACOG | Maternal-Fetal Medicine Specialist & Medical Director, Atlanta Perinatal Associates
It was a Tuesday evening consult. A doctor called with a patient at 31 weeks small for gestational age, elevated umbilical artery resistance, and a wo...
Maternal-Fetal Medicine Specialist | Founder, CodeCraftMD | Atlanta Perinatal Associates
Specifically, the Prior Authorization (PA).
I've noticed something interesting in physician circles lately: there's significant hand-wringing about whether using ChatGPT or other LLMs constitutes ...
Medical Director, Atlanta Perinatal Associates | Founder, CodeCraftMD
By Dr. Chukwuma Onyeije, MD | January 19, 2026
It was 11:47 PM on a Saturday night, and I was staring at my EMR screen trying to remember whether 'threatened abortion' was O20.0 or O03.4. I had just ...
Medical Director, Atlanta Perinatal Associates | Creator of CodeCraftMD & PreEclampsiaWatch
By Dr. Chukwuma Onyeije | MaternalFetal Medicine
> Keywords: AI clinical documentation, ambient transcription, EvidenceMD, CodeCraftMD, physician automation, clinical workflow, medical billing automati...
When algorithms and clinical intuition clash, who do you trust? A physician-programmer shares the moment data pointed one wayand instinct saved a life....
> Human progress isnt the result of smarter people its the result of smarter layers.
Ive recently started reading Why Machines Learn by Anil Ananthaswamy, a book that traces the elegant mathematics behind modern artificial intelligence....
In an era where AI and automation promise to revolutionize healthcare, a 19th-century economic principle reveals a hidden risk:Jevons' Paradox. This ph...
Discover how containerization is transforming medical imaging for busy clinicians who code. Learn how Docker and Singularity can enhance reproducibility...