Doctors Who Code

Where medicine meets technology. Empowering physicians to build tools that transform healthcare.

Hi, I'm Dr. Chukwuma Onyeije

A maternal-fetal medicine specialist with over 30 years of experience, combining clinical expertise with software development to create AI-powered tools for healthcare.

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30+
Years in Medicine
AI
Powered Tools
MFM
Specialist
Tech
Enthusiast

Posts - Page 2

AI Scribes Are Failing Doctors—Here’s the Brutal Truth the NEJM Won’t Say Out Loud
6 min read

AI Scribes Are Failing Doctors—Here’s the Brutal Truth the NEJM Won’t Say Out Loud

“Why Your AI Scribe Isn’t Saving You Time (And What Will)” By Dr. Chukwuma Onyeije, MFM Specialist & Founder of CodeCraftMD Reading time: 8 minutes Every healthcare tech vendor promises the same thing: “Our AI will give you back hours of your day.” But after two major randomized controlled trials and millions in implementation costs, […]

AI medical scribesambient AIclinical documentation
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The Disappearing Note: How Automation Is Rewriting Clinical Documentation
5 min read

The Disappearing Note: How Automation Is Rewriting Clinical Documentation

By Dr. Chukwuma Onyeije | Maternal–Fetal MedicineFounder, CodeCraftMD and Doctors Who Code Introduction: The Note Is Vanishing Before Our Eyes For over a century, the medical note has been the primary artifact of clinical reasoning. It is the record, the legal document, the billable asset, the clinician’s cognitive trail. But in the last five years, […]

ai applicationsDoctors Who CodeHealthcare Automation⁠
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1 min read

The Bot Manager Fallacy in Healthcare

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The Future of Clinical Documentation: A Practical AI Tech Stack for Physicians Who Code
7 min read

The Future of Clinical Documentation: A Practical AI Tech Stack for Physicians Who Code

A Hands-On Guide to Building an AI-Powered Clinical Workflow With Ambient Transcription, EvidenceMD, and CodeCraftMD 📋 Table of Contents 🚀 The Complete AI-Enhanced Clinical Pipeline Ambient → EvidenceMD → CodeCraftMD → EMR Integration By Dr. Chukwuma Onyeije, MFM Specialist & Founder, Doctors Who Code 🎯 Introduction: Why Clinicians Need an AI Workflow, Not Another Search […]

#AIinHealthcare#AIRevolution#AmbientAI
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The Algorithm Said Yes. The Patient’s Eyes Said No.
6 min read

The Algorithm Said Yes. The Patient’s Eyes Said No.

Why clinical intuition still matters in the age of AI medicine Author: Dr. Chukwuma OnyeijePublished: November 2025Reading Time: 6 minutesTags: #ClinicalIntuition #AIinMedicine #HealthcareTechnology #MedicalDecisionMaking #DigitalHealth Meta Description When algorithms and clinical intuition clash, who do you trust? A physician-programmer shares the moment data pointed one way—and instinct saved a life. Discover why medicine can’t be […]

AI in healthcare limitationsclinical instinct vs dataclinical intuition AI
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What Should Be the Response for “Doctors Who Code” and Humanity’s Next Medical Exam
3 min read

What Should Be the Response for “Doctors Who Code” and Humanity’s Next Medical Exam

In their NEJM AI editorial, Gallifant and Bitterman remind us that only 40% of a physician’s shift is spent in direct patient contact. The rest — the invisible 60% — disappears into bureaucracy, fragmented data, coordination loops, and the friction of misaligned incentives. For those of us building or coding in medicine, that statistic should […]

Healthcare Automation⁠Maternal HealthMedical Software⁠
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Voice, Vision, and the Doctor in the Loop
5 min read

Voice, Vision, and the Doctor in the Loop

Progress by Abstraction series for Doctors Who Code Part 3 The Next Abstraction in Healthcare “At the highest level of abstraction are visual and audio interfaces… the demarcation between technical and non-technical professionals is breaking down.” — Sean McClure, Discovered Not Designed 🌍 The Rise of Invisible Interfaces There was a time when the frontier […]

Healthcare Automation⁠Healthcare InnovationMedical Software⁠
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🧠 From Machine Code to Medical Code
5 min read

🧠 From Machine Code to Medical Code

Progress by Abstraction series for Doctors Who Code Part 2 How Abstraction Shapes Clinical Reasoning and AI in Healthcare “Each generation begins not from zero, but from the highest abstraction level achieved by the previous one.” — Sean McClure, Discovered Not Designed ⚙️ The Evolution of Code — From Binary to Meaning In the beginning, […]

ai applicationsHealthcare Automation⁠Healthcare Innovation
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The Bridge Builder’s Mind: Progress by Abstraction
6 min read

The Bridge Builder’s Mind: Progress by Abstraction

Doctors Who Code: Progress through Abstraction Series, Part 1: Doctors Who Code: Progress through Abstraction Series, Part 1 The integration of programming into medical practice is transforming the way healthcare professionals approach patient care. By leveraging coding skills, doctors can streamline processes, enhance data analysis, and improve diagnostic accuracy. This series will explore the various […]

ai applicationsFetal MonitoringHealthcare Automation⁠
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🧩 Progress by Abstraction: How Doctors Build the Future of Thought
4 min read

🧩 Progress by Abstraction: How Doctors Build the Future of Thought

Introducing a New Series on lightslategray-turtle-256743.hostingersite.com 🌍 Discovering a New Lens on Human Progress Every so often, a book reshapes how you see not just technology — but the human story itself.For me, Sean McClure’s Discovered, Not Designed has done exactly that. McClure is a systems thinker and technologist who argues that our greatest advancements […]

abstraction theoryAI and physiciansartificial intelligence in healthcare
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📊 Scalars and Vectors: The Building Blocks of Machine Learning in Medicine
4 min read

📊 Scalars and Vectors: The Building Blocks of Machine Learning in Medicine

IntroductionWhen clinicians hear about artificial intelligence, we often jump straight to buzzwords like “deep learning” or “neural networks.” But behind every powerful AI tool — from imaging diagnostics to predictive models in obstetrics — lies simple math. In Why Machines Learn, Anil Ananthaswamy begins by highlighting scalars and vectors as the foundation of machine learning. […]

AI in Medicine⁠machine learningmedical data
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4 min read

Data-Driven Pregnancies: Continuous Glucose Monitoring and the Revolution in Diabetes Care

Data-Driven Pregnancies: Continuous Glucose Monitoring and the Revolution in Diabetes Care By Chukwuma Onyeije, MD, FACOG For medical professionals exploring how technology can transform patient outcomes, the management of diabetes in pregnancy (DIP)—whether Type 1 Diabetes (T1D), Type 2 Diabetes (T2D), or Gestational Diabetes Mellitus (GDM)—is a powerful case study. The stakes could not be […]

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Showing 13-24 of 75 posts