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Physician reviewing glucose-monitoring educational materials beside the title: I Had a Clinical Presumption. I Built Tools to Examine It.
Technology Featured

I Had a Clinical Presumption. I Built Tools to Examine It.

A question about glucose monitoring became an evidence review, two presentations, and a lesson in why clinical responsibility includes the interface.

· 6 min read
Physician DevelopmentEvidence-Based MedicineClinical Research
A physician-developer workstation with clinical literature, code, an agentic health architecture diagram, and a stethoscope
Physician Developer Featured

The End of the Implementation Bottleneck: Why Clinicians Who Code Are the Future of Healthtech

AI agents are making implementation cheaper. In healthtech, the advantage moves to clinicians who can preserve clinical truth and supervise the architecture.

· 9 min read
physician-developerhealthtechai coding agents
A physician-developer working across four organized Omarchy workspaces for evidence, code, testing, and documentation
Physician Developer Featured

Omarchy for Physician-Developers: Build a Linux Development Lab

A beginner-friendly guide to turning a spare computer into a focused Omarchy workstation for Git, containers, AI coding agents, and small clinical software projects.

· 14 min read
omarchylinuxarch linux
Dr. Chukwuma Onyeije surrounded by a clinical AI verification workflow showing grounded facts and fabricated outputs
AI in Medicine Featured

The Anatomy of a Medical AI Hallucination

Medical AI hallucinations become dangerous when plausible invention enters a clinical workflow. A physician-developer's guide to grounding, verification, harnesses, and human accountability.

· 14 min read
medical-aiai hallucinationsclinical-ai
Dr. Chukwuma Onyeije supervising DeepSeek Harness across a multi-monitor physician-developer workspace
AI in Medicine Featured

Physicians Need to Learn the Harness, Not Just the Model

DeepSeek Harness shows why physicians must understand the context, tools, permissions, logs, and human checkpoints that turn an AI model into a working system.

· 11 min read
ai-agentsagent-harnessdeepseek-harness
A physician reviewing an evidence-linked clinical workflow that turns a patient conversation into a note, orders, prescriptions, and coding actions
AI in Medicine Featured

The Ambient Scribe Is Disappearing

Ambient clinical AI is moving beyond note generation into an encounter layer that prepares orders, prescriptions, coding, and follow-up while keeping consequential decisions visible to the physician.

· 11 min read
ambient-aiclinical-documentationclinical-workflow
A physician teaches medical students about clinical AI while standing beside a healthcare robot
AI in Medicine Featured

Medical Education Does Not Need an AI Course. It Needs a New Clinical Curriculum.

Preparing physicians for agentic AI requires more than an elective. Medical education must redesign how students reason independently, delegate work, verify machine output, and retain clinical judgment.

· 12 min read
medical-educationagentic-aiclinical-ai
A physician supervises a clinical AI robot during a consultation with a pregnant patient
AI in Medicine Featured

The Physician Above the Loop: Preparing Medicine for Agentic AI

Clinical intelligence is becoming abundant. Physicians must learn to delegate, verify, contextualize, and judge the work of increasingly autonomous clinical AI systems.

· 14 min read
agentic-aiclinical-aiautonomous-ai
A traveler using a password manager on a laptop during an overnight international flight
Technology Featured

I Switched Password Managers at 35,000 Feet

A difficult login over airplane Wi-Fi forced me to act on research I had already done: leave NordPass, move to 1Password, and stay loyal to the workflow rather than the vendor.

· 6 min read
password-managerscybersecuritydigital-workflow
Two physicians designing clinical software beside a patient, with interfaces for ambient documentation, evidence-based algorithms, and standardized patient care
Physician-Developer Featured

Why I Rebuilt Doctors Who Code

Doctors Who Code began as a blog encouraging physicians to learn programming. It is now a learning platform for physicians who want to use AI with judgment and build clinical tools that improve care.

· 13 min read
doctors-who-codephysician-developermedical-education
A humanoid robot hand hovering protectively over an open human hand, rendered in muted retro-futurist tones
AI in Medicine Featured

The Optimization Trap: What With Folded Hands Can Teach Us About AI in Medicine

Jack Williamson's 1947 story imagined machines that obeyed humanity perfectly and destroyed it anyway. Medicine is building the same objective function.

· 11 min read
doctors-who-codeartificial-intelligencemedicine
A glowing clock face superimposed over a dim hospital corridor, its hands mid-sweep, dissolving into circuit-board pathways
Clinical Informatics Featured

Medicine's Crisis Is Not Ignorance. It Is Ineptitude.

Atul Gawande's framework for human failure explains why obstetric emergencies are lost to execution, not knowledge. The fix is a systems problem, not a training problem.

· 6 min read
checklist-manifestoatul-gawandepatient-safety
A physician-developer in a white coat holding a glowing GitHub Gist icon, connected by streams of light to clinical diagrams, decision trees, and code panels around him
Physician Development Featured

GitHub Gists: The Most Underrated Tool Every Physician-Developer Should Be Using

GitHub Gists look like scratch space for code snippets. Used correctly, they become a version-controlled clinical reference library that decks, apps, and blog posts can all cite from a single source.

· 9 min read
githubgithub-gistsphysician-developer
Physician reviewing a clinical AI observability dashboard showing sensitivity drift, calibration curves, and subgroup performance alongside a diagnostic imaging panel
AI in Medicine Featured

FDA Clearance Is Not a Monitoring Plan

Clinical AI can fail without crashing. Physician-developers must build the monitoring, outcome linkage, and human checkpoints that keep cleared software safe after deployment.

· 18 min read
clinical-aiphysician-developermodel-monitoring
Physician using a structured clinical documentation workstation in a hospital corridor
Clinical Workflow Featured

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.

· 6 min read
clinical-workflowclinical-coordinationdocumentation-as-code
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
Second brain knowledge system visual showing connected clinical information and memory architecture
Clinical + Code Featured

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
second-brainobsidianclinical-workflow
Clinical AI fetal growth restriction surveillance interface with ultrasound and longitudinal pregnancy data.
AI in Medicine Featured

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
fetal-growth-restrictionlarge-language-modelsclinical-ai
Whimsical lemonade stand scene comparing a child-made lemonade stand with an automated lemonade machine
AI in Medicine Featured

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
automationai in medicinephysician-developer
A small clinical tool becoming the foundation of larger infrastructure, dark navy and cyan
Physician Development Featured

The Moment a Clinical Tool Becomes Infrastructure

A short introduction to a DoctorsWhoCode series on spreadsheets, tests, and retrieval as the basic discipline of physician-built clinical software.

· 7 min read
doctors-who-codephysician-developerclinical-software
Excel spreadsheet formula cracking under pressure, transitioning to clean Python code
Physician Development Featured

From Excel to Python: When Your Spreadsheet Becomes a Liability

Excel is often the right first move for a physician-builder. The problem begins when clinical logic stays trapped in a container that can no longer safely hold it.

· 8 min read
doctors-who-codephysician-developerpython
Clinical calculator interface with glowing test checkpoints at critical boundary thresholds
Physician Development Featured

Why Your Clinical Calculator Needs Tests

A clinical calculator is not safer because it is written in code. It becomes safer when its expected behavior is explicit, checked, and protected from silent drift.

· 8 min read
doctors-who-codephysician-developerclinical-software
A precision bridge of glowing documents spanning from abstract medical knowledge to clinical practice
Artificial Intelligence Featured

RAG Is the Bridge Between Medical Knowledge and Medical Practice

Clinical AI earns workflow trust only when its answers are grounded in current, local, auditable knowledge. Retrieval is not a feature. It is infrastructure.

· 9 min read
doctors-who-codephysician-developerclinical-ai
Physician-developer reviewing three parallel agent workflows on screens representing clinical documentation, content publishing, and daily training readiness
AI in Medicine Featured

You Are Still Prompting. You Should Be Building Agents.

Prompting has a ceiling. Once you hit it, you are coordinating every step manually while the AI handles individual tasks. Here is the framework and three live workflows I use to cross that line.

· 11 min read
ai-agentsprompt-engineeringphysician-developer
Physician-developer sitting with a laptop at night, surrounded by visible signs of technical friction and clinical responsibility
Technology Featured

Burnout Is Not From Working Too Hard. It Is From Working on the Wrong Things.

For physician-developers, burnout often comes from low-value technical friction. The answer is not more endurance. It is better delegation to systems, automation, and agents.

· 7 min read
automationphysician-developerburnout
Expedition cruise ship at sea with a cinematic public health surveillance mood
Health Informatics Featured

Hantavirus at Sea: What the MV Hondius Outbreak Teaches Physician-Developers

The MV Hondius outbreak was not only a rare infectious disease story. It exposed familiar failures in travel history, triage logic, outbreak data exchange, and emergency logistics.

· 7 min read
infectious-diseasepublic-healthhantavirus
Hermes AI operations partner dashboard concept with clinical, coding, and workflow systems connected around a physician-builder stack
AI in Medicine Featured

I Gave an AI Agent 94 Skills and Let It Help Run My Clinical, Coding, and Theology Workflows

Three weeks into running Hermes Agent in production, I can say this: the real value is not the model. It is the workflow ecosystem wrapped around it. Here is what 94 specialized skills looks like in a real physician-developer stack.

· 12 min read
hermes-agentai-in-medicinephysician-developer
Production architecture diagram concept for Hermes Agent showing infrastructure, routing, logs, and healthcare AI workflow boundaries
AI in Medicine Featured

The Architecture Behind My 24/7 AI Operations Partner

The model is not the product. The workflow is the product. Here is a technical look at the production stack behind a physician-built AI operations partner: Docker, Traefik, model failover, rate limits, logs, HIPAA boundaries, and the failure modes I watch for every week.

· 13 min read
hermes-agentai-in-medicinephysician-developer
Vintage congenital heart disease textbook illustration of Ebstein's anomaly beside a modern cyan-lit echocardiography interface
Clinical + Code Featured

Dead Weight: What a 1970 Cardiology Textbook Taught Me About the Future of Clinical Evidence

A half-century-old textbook on congenital heart disease. A chapter on Ebstein's anomaly. A comparison that changed how I think about evidence, AI, and what we owe the next generation of physicians.

evidence-based-medicineclinical-evidenceebsteins-anomaly
Retro-futurist clinical illustration showing a physician, a worried Jetsons-style clinician, a robot projecting an AI efficiency dashboard, and an Orbit City medical center
Clinical AI Featured

The Jetsons Problem in Clinical Medicine

Artificial intelligence in clinical medicine promises abundance. The real risk is not too little data, but too little agency, attention, and equity.

· 9 min read
artificial intelligence clinical medicineAI in healthcarephysician burnout
A physician and patient evaluating a translucent software recommendation together at the bedside
Clinical Software

The Last Step Is Not Software. It Is Judgment.

Clinical software can execute protocol logic perfectly and still be wrong for the patient. The physician checkpoint must remain part of the architecture.

· 8 min read
clinical judgmentclinical decision supportautomation bias
A physician reviews a clinical AI workflow between dissolving documents and server towers, with an amber human approval checkpoint
AI in Medicine

The Middle Path, Part I: Doomers, Dismissers, and the Physician Between Them

Assess AI claims through evidence, system design, and accountability. The first lesson in The Middle Path, with a clinical case and self-assessment.

· 12 min read
ai-safetyclinical-aiai-governance
A transparent clinical application showing a tested logic engine beneath a restrained interface
Clinical Software

Build the Clinical Engine Before the Interface

A reliable clinical application separates guideline logic from presentation, tests expected behavior, and carries provenance into every recommendation.

· 8 min read
clinical softwareclinical decision supportsoftware testing
Obstetric ultrasound monitor between separate calendars for Estimated Due Date and Predicted Delivery Date, with a shaded prediction range
AI in Medicine

Delivery Date AI and the Meaning of a Due Date

What ultrasound-based delivery prediction means for clinical care, and how physician-developers can preserve its meaning in the medical record.

· 7 min read
Clinical AIMaternal-Fetal MedicineUltrasound
A clinical guideline unfolding into an inspectable decision tree with thresholds, branches, and exception paths
Clinical Software

Make the Clinical Logic Visible Before You Code

Translate a clinical protocol into explicit inputs, branches, thresholds, exceptions, and failure states before choosing a programming language.

· 8 min read
clinical algorithmsdecision treesclinical protocols
A physician-developer reviewing an assignment brief, a proposed agent plan, a code change, and passing tests before approval
AI Tools

Your First Agentic Workflow: Delegate a Small, Verifiable Project

A physician-developer's practical guide to giving an AI agent one bounded software assignment and requiring a plan, tests, review evidence, and a stopping condition.

· 13 min read
AI AgentsAgentic WorkflowsPhysician Developer
A precise clinical protocol grid bending around a complex patient silhouette without enclosing it
Clinical Software

A Protocol Is a Memory System, Not a Patient

Clinical protocols reduce avoidable variation, but software must preserve their population boundaries, exceptions, provenance, and judgment points.

· 7 min read
clinical protocolsclinical decision supportevidence-based medicine
A physician-developer choosing among a terminal, an agent-first editor, a cloud workspace, and a persistent messaging agent
AI Tools

The Harness Is the Workplace: Choosing Where an AI Agent Works

Claude Code, Codex, Antigravity, OpenClaw, Hermes, and Omarchy illustrate a durable lesson for physicians: choose the agent's workplace before delegating the work.

· 12 min read
AI AgentsAgent HarnessClaude Code
A physician-developer supervising a visible loop between an AI model, tools, observations, and a human approval checkpoint
AI Tools

From Chatbot to Agent: The Mental Model Every Physician Needs

AI agents do more than answer questions. This physician-developer guide explains the agent loop, levels of autonomy, and the checkpoints that keep humans accountable.

· 10 min read
AI AgentsAgentic WorkflowsPhysician Developer
Clinical research papers narrowing toward a bedside monitor while uncertainty remains visible around the patient
Clinical Software

Evidence Is Not Yet a Clinical Instruction

Clinical evidence describes populations. Physician-developers must preserve its limits before translating it into protocol logic or software.

· 7 min read
evidence-based medicineclinical protocolsclinical software
An eight-stage clinical AI harness carrying evidence through verification and physician approval before a bounded clinical action
AI in Medicine

Build the Minimum Viable Clinical Harness

A clinical AI workflow needs more than a model and a prompt. Build the smallest system that can scope, retrieve, generate, verify, challenge, approve, execute, and audit the work.

· 15 min read
clinical aiagent harnessphysician-developer
Four distinct agent workspaces surrounding the same language model, each with different tools, permissions, memory, and review artifacts
AI in Medicine

Same Model, Different System

Claude Code, Google Antigravity, OpenAI Codex, and DeepSeek Harness expose the architecture around an AI model. Physicians should compare that architecture before comparing model rankings.

· 13 min read
agent harnessclaude codegoogle antigravity
A physician-developer converting a clinical note into a bounded AI specification with visible source, constraint, and verification layers
AI in Medicine

The Prompt Is a Clinical Specification

Clinical prompting is not a contest for better wording. It is the work of defining sources, context, objectives, prohibitions, and evaluation before a model generates anything.

· 12 min read
prompt engineeringclinical aiphysician-developer
A simple seven-day tracking sheet on a clinician's desk beside a closed laptop, end of week reflection setting
AI in Medicine

The One-Week Ambient Challenge

A seven-day self-audit for physicians using an approved ambient documentation system, built around three questions that matter more than words per minute.

· 7 min read
ambient aiclinical documentationai in medicine
A phone recording a mock interview on a kitchen table, a laptop nearby showing a structured SOAP note being generated
AI in Medicine

Build an Ambient Documentation Lab Before You Buy One

You can learn the entire ambient documentation pipeline with a phone, a fictional patient, and a general-purpose AI assistant, before spending a dollar on a clinical platform.

· 7 min read
ambient aiclinical documentationai in medicine
A note template being revised through several iterations, each version cleaner than the last, dark editorial style
AI in Medicine

Your First Ambient Note Is Not Your Final Workflow

Most physicians stop optimizing an ambient documentation system the moment it produces a usable note. That is the moment the real work should start.

· 6 min read
ambient aiclinical documentationai in medicine
Ten small glowing evaluation nodes arranged around a central neutral document icon, no company logos visible
AI in Medicine

Teach the Tech, Not the Vendor

Ambient documentation vendors will change, merge, and disappear. A ten-point evaluation framework that outlasts any single product.

· 7 min read
ambient aiclinical documentationai in medicine
A physician's finger tracing a line of clinical text on a tablet, a pen resting nearby, close and deliberate
AI in Medicine

AI Drafts. The Clinician Verifies. That Line Cannot Move.

Speech recognition misses words. Language models infer things that were never said. A disciplined review habit is what separates ambient AI from a liability.

· 6 min read
ambient aiclinical documentationai in medicine
A physician leaning forward listening intently to a patient, no laptop screen visible between them
AI in Medicine

Ambient AI Let Me Stop Interrupting My Patients

When documentation time is scarce, physicians steer patients toward answers that are easy to type. Ambient AI removes the excuse for doing that.

· 6 min read
ambient aiclinical documentationai in medicine
Three connected panels showing a physician reviewing a chart, speaking with a patient, and verifying a note on a tablet
AI in Medicine

The Three-Phase Ambient Workflow Every Physician Should Build

Pre-encounter, encounter, and post-encounter are not just note sections. They are the three places an ambient workflow can quietly go wrong.

· 8 min read
ambient aiclinical documentationai in medicine
An abstract pipeline diagram showing a conversation waveform transforming into structured clinical text
AI in Medicine

Ambient Documentation Is Not Transcription

A transcript and a clinical note are not the same object. Understanding the pipeline between them is the difference between using ambient AI and trusting it blindly.

· 6 min read
ambient aiclinical documentationai in medicine
A timeline collage of a paper hospital chart, a dictation telephone, an early EMR screen, and a modern ambient AI waveform
AI in Medicine

Nurse Benjamin's Warning: Thirty Years of Clinical Documentation

From paper charts at Harlem Hospital in 1992 to ambient AI in 2026, the tools changed four times. The physician's responsibility toward the record did not.

· 8 min read
ambient aiclinical documentationai in medicine
A physician's hands resting on a closed laptop across from an empty exam chair, dark clinical setting
AI in Medicine

Ambient Documentation Was Never About Speed

Ambient clinical AI is usually sold as a time-saver. The real change it offers is different: it can give the physician's attention back to the patient.

· 6 min read
ambient aiclinical documentationai in medicine
Clinical AI interface contrasting a polished answer with evidence layers, uncertainty warnings, and a physician review gate.
AI in Medicine

Fluent Answers Are Not Clinical Judgment

Language models can make uncertain medical information sound finished. The problem is not fluency. The problem is mistaking fluency for accountable clinical reasoning.

· 8 min read
clinical-ailarge-language-modelsclinical-judgment
Medical journals and archival papers feeding a digital evidence pipeline with citation chains and provenance markers.
AI in Medicine

Journals Are Becoming Infrastructure

Medical journals are no longer only read by clinicians. They are becoming upstream inputs to AI systems. That makes provenance, evidence hierarchy, and distribution part of clinical infrastructure.

· 8 min read
medical-journalsclinical-aievidence-infrastructure
Clinical workstation showing a disappearing search field becoming structured evidence cards and human review checkpoints.
AI in Medicine

The Search Box Is Disappearing

Medicine is moving from retrieval to synthesis. That changes the physician's work from finding information to judging synthesized information under clinical pressure.

· 7 min read
clinical-aimedical-informaticsphysician-developer
Morning PGIS dashboard showing HRV, glucose trend, and Body Battery after a training restart at dawn
Physician Development Featured

Fatigue, Failure, and the Data That Brought Me Back

After six weeks of missed training, my PGIS morning check-in revealed what a GPS watch alone never shows: glycemic and autonomic recovery run on entirely different clocks.

· 8 min read
pgiscgmhrv
Physician workstation showing a clinical evidence synthesis knowledge vault beside medical references and notes
Artificial Intelligence Featured

Building the Physician's Knowledge Flywheel

Why the vault gets exponentially more valuable the more you use it. The long-game thesis: this is the clinical infrastructure that vendors cannot build.

· 10 min read
second braincompound knowledgephysician builder
Physician-developer reviewing a Markdown-based clinical presentation workflow on a monitor in a dark, cyan-lit workspace
Technology

My Slides Became Code: Why I Use Marp for AI-Generated Presentations

Marp lets physician-builders turn reviewed knowledge into version-controlled, AI-assisted teaching decks without surrendering clinical responsibility.

· 9 min read
doctors-who-codemarpai-generated-presentations
Physician-developer reviewing an AI agent workflow with software fundamentals, code structure, and clinical accountability represented across screens
Technology

AI Agents Do Not Replace Software Fundamentals. They Expose Whether You Have Any.

For physician-builders, agentic engineering is not prompt magic. It is bounded context, vertical slices, observability, and accountability.

· 8 min read
agentic-engineeringai-agentsdoctors-who-code
Physician using a command-driven clinical reasoning interface across dual monitors with case comparison and SOAP structure
Clinical + Code Featured

The Thinking Partner Commands Every Physician Should Build

Slash commands that replace the morning literature review. /challenge, /emerge, /connect, /close-clinic, /graduate: clinical reasoning augmentation, not automation.

· 11 min read
second brainslash commandsclinical reasoning
A physician-developer supervising an AI coding agent from a mobile phone between clinical responsibilities
AI Tools

Codex on Mobile Solves the Async Doctor Problem

OpenAI bringing Codex into the ChatGPT mobile app is not about coding on a phone. It is about supervising agentic work when your clinical day refuses to give you uninterrupted time.

· 8 min read
AI ToolsAgentic CodingOpenAI
Physician-builder at a laptop with a local clinical knowledge graph, binders, stethoscope, and private local server
Technology Featured

The Physician's Stack: Obsidian + Claude Code + Local LLM

How to build a clinical knowledge vault without sending patient data to anyone's server. The two-vaults architecture, ingestion workflows, and the HIPAA-first policy.

· 12 min read
second brainObsidianClaude Code
Physician workstation showing clinical evidence synthesis in a dark knowledge vault interface beside medical references
Artificial Intelligence Featured

What Karpathy Actually Built (and Why It Matters for Medicine)

The compilation analogy, explained for clinicians. How LLM Wiki compiles clinical knowledge into synthesized entity pages instead of re-retrieving chunks on every query.

· 9 min read
second brainKarpathyLLM Wiki
Physician seated in a clinical office with a circular second-brain knowledge vault of case notes, guidelines, literature, protocols, and insights
Artificial Intelligence Featured

The Physician's Second Brain: A 5-Post Series

A complete guide to building an LLM-powered clinical knowledge vault. Why existing PKM failed physicians, how to build one that works, and why this is the infrastructure layer physicians must own.

· 3 min read
second brainLLM Wikiphysician builder
Physician overwhelmed by unread medical PDFs, journal articles, guidelines, treatment protocols, and abandoned digital notes
Artificial Intelligence Featured

The PKM System That Was Never Built for You

Why every personal knowledge management app failed physicians specifically, and why Karpathy's April 2026 LLM Wiki changes everything.

· 9 min read
second brainPKMKarpathy
A Go board with one glowing stone in the foreground, overlaid with retinal imaging, protein structure, ECG signals, and medical data visualizations
AI in Medicine Featured

The Map Has Blind Spots

Move 37 was not a parlor trick. It was a warning. Physician-developers need to be ready for the moment AI starts finding medically important patterns our inherited maps never taught us to see.

· 8 min read
aiclinical-aiphysician-developer
Physician-developer at a night workstation reviewing a clinical note workflow, code, and model evaluation dashboards
Clinical + Code Featured

AI Just Outperformed Physicians at Clinical Writing. This Should Not Surprise You.

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.

· 8 min read
clinical-aidoctors-who-codephysician-developer
A lone silhouette stands before a towering AI medical dashboard glowing cyan, while a warm doctor's office with a stethoscope waits through an open door behind him
AI in Medicine Featured

When AI Told a Dying Man What He Wanted to Hear

Joe Riley trusted AI over his oncologist and died of a treatable cancer. His tragedy wasn't naivety — it was earned distrust, amplified by a machine that had no way to know the difference.

AI in MedicinePatient SafetyMedical Misinformation
Physician-developer at a dark workstation with fragmented clinical PDFs on the left monitor and clean structured Markdown output on the right, a cracked digital wall separating the two
Artificial Intelligence

The PDF Wall: Why Your Clinical RAG Keeps Hallucinating

Your clinical RAG system is not hallucinating because the model is bad. It is hallucinating because your document pipeline is broken. Here is what clinical PDF parsing actually requires, and why Docling is the fix.

· 11 min read
clinical-ragpdf-parsingdocling
A clinical software project moving from a local laptop to live screens across browser and phone
Physician Development

Deployment: When Your Code Becomes Clinical Reality

An app on your laptop helps no one. Deployment is the step where physician-developer work finally becomes available to patients, colleagues, and clinics.

· 14 min read
deploymentvercelrailway
Connected patient record schemas and application code layered across a physician-developer workspace
Physician Development

Postgres and Prisma: Where the Data Actually Lives

Clinical software becomes real when it remembers. This is the database layer that turns a one-off calculator into a longitudinal tool.

· 13 min read
postgresprismadatabase
A clinical web interface transforming from a plain form into a polished patient-facing design
Physician Development

Tailwind CSS: Design Without Asking a Designer

Patients do not trust ugly calculators. Tailwind helps physician-developers build interfaces that feel clean, credible, and ready to use.

· 11 min read
tailwindcssdesign
A fast clinical content site displayed across screens with an architecture-focused web development workspace
Physician Development

Astro: Building Fast, Clinical-Grade Websites Without the Bloat

Physician-developer projects are usually content-first. Astro fits that shape by shipping less JavaScript, faster pages, and cleaner performance by default.

· 14 min read
astroweb developmentphysician-developer
An MDX document with clinical prose and an interactive component displayed side by side
Physician Development

MDX: Where Writing Meets Code

Most physician writing dies in static documents. MDX turns clinical education into living pages that can explain, calculate, and update in one file.

· 10 min read
mdxmarkdownphysician-developer
A physician-developer working at night with an AI coding assistant open beside a software project
AI in Medicine

AI-Assisted Coding: Your Second Pair of Hands

Claude Code, Cursor, and Copilot do not replace judgment. They compress the feedback loop for physician-developers who still read every line before they ship.

· 13 min read
ai codingclaude codecursor
A physician reviewing de-identified clinical data visualizations beside a Python coding workspace
Physician Development

Python: The Language of Clinical Data

JavaScript runs in the browser. Python runs behind the workflow, where lab values, CSV exports, data cleaning, and clinical models actually live.

· 12 min read
pythonclinical datapandas
A code editor showing structured clinical data and validation cues in a TypeScript workflow
Physician Development

TypeScript: Because a Misplaced Decimal Can Hurt a Patient

Clinical software cannot afford vague inputs. TypeScript gives physician-developers safer contracts, clearer data shapes, and fewer silent failures.

· 11 min read
typescriptjavascriptphysician-developer
A patient-facing clinical interface and browser developer tools open beside a bedside risk calculator
Physician Development

JavaScript: The Language Your Patients Already Run

Every patient portal, tablet consent form, and browser-based clinical tool already runs JavaScript. This is where physician-developers start changing what medicine feels like on a screen.

· 10 min read
javascriptphysician-developerclinical software
A physician-developer standing between a clinical workstation and a coding setup with multiple screens
Physician Development Featured

The Physician-Developer's Stack: Nine Tools. One Doctor. A Workflow That Actually Ships.

A practical 10-part Doctors Who Code series for physicians who want to build and ship clinical tools with the modern web stack, from JavaScript to deployment.

· 6 min read
physician-developerweb developmentclinical software
Physician-developer in scrubs working at a multi-monitor clinical workstation at night with imaging, code, and notes visible on screen
Clinical + Code Featured

Deep Work for Physicians: Protecting the Cognitive Core of Medicine

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.

· 9 min read
deep workphysician-developerclinical workflow
A physician calmly reviewing paperwork at a desk while dozens of rocket-powered AI robots and floating digital documents crowd the room around him
Clinical AI Featured

The Human Bottleneck: Why Medicine's Agentic Future Is Waiting on Us

AI agents are 50x faster than humans, but medicine only captures a fraction of that speed. The real bottleneck in agentic AI is not the technology — it is human capacity, clinical oversight, and workflows built for the wrong consumer. A physician-developer's perspective.

· 7 min read
agentic AI in medicinephysician-developerEHR clinical workflow
Physician-developer at a workstation with terminal output and a clinical note glowing on dual monitors, GPU server on the desk, dark clinical office at night
Infrastructure Imperative Featured

The Local Advantage: Why Physician-Developers Should Build on Local LLMs Instead of Consumer AI

Consumer AI tools like ChatGPT and Claude are useful. But a physician-developer who deploys a locally fine-tuned model on controlled infrastructure has something more powerful: a clinical tool that learns your practice, respects your data, and costs less at scale.

· 12 min read
local-llmai-infrastructureclinical-ai
Physician-developer reviewing a clinical workflow while pre-visit summary, ambient capture, draft note, verification, coding support, and handoff steps appear around him
Clinical + Code Featured

Clinical Documentation Automation Should Remove Friction, Not Replace the Doctor

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.

· 8 min read
clinical-aidoctors-who-codemedical-software
Physician-builder reviewing a PGIS recipe library on a laptop while sketching the system architecture beside a plated meal
Clinical + Code Featured

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.

· 6 min read
pgisnutritiongithub-pages
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
A GitHub search results page filtered to medical AI repositories, showing stars, forks, and last commit dates
AI in Medicine

Navigating Medical AI on GitHub: What Is Worth Your Time

There are thousands of medical AI repositories on GitHub. Most are abandoned, half-built, or unreproducible. Here is how to find the ones that actually work.

· 7 min read
githubmedical-aiopen-source
AI in Medicine

JSON for Physicians: The Structured Data Your Clinical AI Actually Needs

A physician's guide to JSON, FHIR JSON, and structured clinical data for APIs, interoperability, and medical AI.

· 8 min read
jsonfhirinteroperability
Three browser windows showing simple clinical utility pages: a blood pressure algorithm, a patient counseling checklist, and a kick count explainer
Physician Development

Three GitHub Projects Physicians Can Actually Finish

Most physician-developer projects fail not because the ideas are bad but because the first build is too large. Here are three that are sized to finish.

· 7 min read
githubphysician-developerclinical-tools
A GitHub repository page with a README, commit history, and a clinical utility project in progress
Physician Development

Your First Week on GitHub as a Physician: A Practical Starter Plan

Not a tutorial on becoming a developer. A seven-day plan for a busy physician to go from zero to a real project in a repository they will actually return to.

· 7 min read
githubphysician-developergetting-started
A terminal window showing a git commit history alongside a clinical workflow diagram
Physician Development

GitHub for Physicians: Why Version Control Changes How You Build

Most physician-developers lose code the same way: no backups, no history, no way to recover. Here is why version control matters.

· 6 min read
githubversion-controlphysician-developer
A GitHub profile page belonging to a physician with a mix of clinical utility repositories and documentation projects
Physician Development

Stop Lurking: Why Physicians Should Start GitHub Before They Feel Ready

Most physicians assume GitHub is for real developers. That assumption is costing medicine. Here is why the barrier is not skill, and what to do instead.

· 6 min read
githubphysician-developergetting-started
Physician reviewing faxed referral pages beside a digital referral dashboard with ultrasound images
AI in Medicine Featured

The Referral System Is Broken for the Same Reason the Triage Line Is Broken

Nobody lost your fax. The system was designed to lose it. Referral failures are not clerical accidents. They are the predictable result of clinical infrastructure built for a different era.

· 12 min read
referralsphysician-developerhealth-tech
Hospital workstation with clinical dashboards and code monitors outside a patient room at night
AI in Medicine

When Medical Algorithms Code Racism Into Patient Care

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.

· 8 min read
algorithmic biashealth equityphysician-developer
InboxDetox dashboard showing AI-categorized email subscriptions on a dark interface displayed on a monitor
Technology Featured

I Built InboxDetox in Two Evenings — This Is What Disposable Software Looks Like

InboxDetox is an AI-powered email unsubscribe manager built in two evenings and deployed to Railway. It is on GitHub. Take it.

· 5 min read
disposable-softwarephysician-developernext-js
Physician at a desk at night reviewing telehealth billing codes on dual monitors
Clinical Informatics

Demystifying Digital Medicine Coding -- A Physician-Developer's Guide to Sustainable Telehealth Workflows

A practical breakdown of 2025 CPT telehealth codes, RPM billing thresholds, and the workflow engineering required to make digital medicine financially sustainable.

· 8 min read
telehealthbillingCPT codes
Pregnant woman sitting alone on a dark couch late at night, her face lit by the glow of her phone as she types a medical question into a chatbot
AI in Medicine Featured

Your Patients Are Already Using ChatGPT to Decide Whether to Call You

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.

· 10 min read
patient-safetyclinical-aiphysician-developer
Hospital IT conference room with vendor AI presentation on screen, physicians at the table, one with a code editor open
AI in Medicine

The EHR Vendor Wants You to Stay a Consultant

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.

· 6 min read
ehrhealth-techphysician-developer
Dark terminal screen showing timestamped biometric log entries with the text LOGS BEFORE INTELLIGENCE centered in the foreground
Clinical + Code

Logs Before Intelligence: Why Data Discipline Must Precede AI Insight

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.

· 8 min read
ai-in-medicineclinical-data-architecturedata-discipline
Physician's home office desk at night with laptop showing a simple Python script, warm lamp light against cool screen glow
Physician Development

Your First Build Does Not Have to Save Lives

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.

· 6 min read
disposable-softwarephysician-developerlearning-to-code
Patient alone in a hospital labor and delivery room, looking at a smartphone with a worried expression
Clinical + Code

The Limits of Viability: What Patients Find Before They Find You

When families face periviability, they search before they call. What they find shapes everything. Here is why physician-developers have a responsibility to build better.

· 7 min read
periviabilitypatient educationOpenMFM
Empty hospital conference room with whiteboard showing Users and Builders columns
AI in Medicine

When the Algorithm Fails, Who Answers for It?

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.

· 6 min read
accountabilityphysician-developerai-liability
Physician standing at the threshold of a modern software development workspace, one step from entering
AI in Medicine Featured

Augmented Intelligence Is a Physician Problem. That Makes It a Physician-Developer Opportunity.

The AMA opened the door. Physicians must decide what to do with it. The survey data is not a comfort. It's a challenge. Here's what physician-developers do next.

· 9 min read
augmented intelligenceAMAphysician-developer
Senior physician and resident reviewing AI diagnostic output on a tablet in a hospital corridor
AI in Medicine Featured

Skill Loss Is the Wrong Fear. Here's the Right One.

88% of physicians fear AI will erode their clinical instincts. That fear is real but misdirected. The greater risk is intellectual dependency on systems we didn't build and cannot interrogate.

· 8 min read
augmented intelligenceAMAclinical skills
Physician at dual-monitor workstation with EHR on one screen and code on the other
AI in Medicine Featured

The AMA Is Right About Augmented Intelligence — They're Wrong About Who Should Build It

The AMA's 2026 survey shows 81% of physicians now use AI in practice. But read the fine print. Physicians want a seat at the table. The best way to earn that seat is to be the person who wrote the code.

· 9 min read
augmented-intelligenceamaphysician-developer
Terminal window showing Astro build output alongside a stethoscope
Technology Featured

I Ditched Headless WordPress for Astro — Here's Why a Physician-Developer Should Too

After spending a day fighting a WordPress plugin that wouldn't respect a domain change, I rebuilt DoctorsWhoCode.blog from scratch with Astro and MDX. The migration took one afternoon. The clarity was immediate.

· 8 min read
AstroWordPressphysician-developer
A split-screen image showing an ICU monitor with glucose waveforms and a marathon runner at dawn, bridged by a line of glowing data.
Pillar Post Featured

From the ICU to the Marathon Course: What AI-Driven Glycemic Control Teaches Us About Athletic Performance

A physician-developer explores the powerful parallels between AI-driven glycemic control in the ICU and metabolic management for endurance athletes with Type 2 diabetes, introducing the Performance Glycemic Intelligence System (PGIS) as a real-world n-of-1 framework.

ai-in-medicineclinical-informaticsdigital-health
A physician reviews his HRV trend chart and PGIS Breathe app at dawn, Garmin watch on his wrist, running shoes in the background.
Physician Development Featured

I Didn't Download an App. I Described My Problem to an AI and It Built One for Me.

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.

· 9 min read
hrvheart-rate-variabilityai-in-medicine
Physician-developer building clinical knowledge infrastructure
Blogging

The Protocol-to-Website Industrial Complex:

By Dr. Chukwuma Onyeije, MD, FACOG | Maternal-Fetal Medicine Specialist & Medical Director, Atlanta Perinatal Associates

acog-guidelinesclinical-knowledge-managementclinical-microsites
PGIS Performance Glycemic Intelligence System infographic
Blogging

PGIS — Performance Glycemic Intelligence System

<iframe src='https://doctorswhocode.blog/infographics/pgis-infographic.html' width='100%' height='1000' frameborder='0' style='border:none; display:bloc...
FGRManager clinical decision support tool
Physician Development Featured

How I Built FGRManager: A Physician-Developer's Blueprint for Turning Clinical Protocols into Bedside Tools

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...

bedside-clinical-toolclinical-decision-support-tooldoctors-who-code
PGIS Performance Glycemic Intelligence System infographic
Technology

From Patient Data to Open Source: Why I Built the Performance Glycemic Intelligence System (PGIS)

As a physician-developer and a 60-year-old endurance athlete living with Type 2 diabetes for over two decades, I have navigated a unique intersection of...
AI-generated clinical presentation workflow visualization
Technology

The Anatomy of a Real-Time Clinical Presentation: From Clinical Encounter to Open-Source Slides in Minutes

A few days ago, a consult reminded me why I started this blog . A colleague mentioned a new patient with a complex presentation of placenta accreta spec...
Technology

From Stethoscopes to Transformers: A Doctor's Deep Dive into "Attention is All You Need"

'The contents of this file is everything algorithmically needed to train a GPT. Everything else is just efficiency.'
Blogging

From Misinformation to Implementation: Why Modern Medicine Needs a Guideline-to-App Industrial Complex

Maternal-Fetal Medicine Specialist, Medical Director at Atlanta Perinatal Associates, Founder of CodeCraftMD

acogclinical-decision-supportclinical-guidelines
Technology

Post-Mortem: Why I’m Stepping Back from My OpenClaw Experiment

In my last post, I shared my journey into building an OpenClaw agent to gain deeper visibility into the development process. As someone fascinated by th...
Technology

Physician-Developers vs. Viral Misinformation

A mother announces she will refuse vitamin K for her newborn. Not because of documented allergy. Not because of carefully researched religious exemption...
Blogging

I Built an OpenClaw Agent to Understand What Developers Are Actually Doing (Not Because I Needed One)

Maternal-Fetal Medicine Specialist | Founder, CodeCraftMD | Atlanta Perinatal Associates

ai-agentsclinical-informaticsdoctors-who-code
Healthcare Technology

Part 1: The $50 Billion Bait-and-Switch

Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD

ai-in-medicineclinical-aidigital-health
Healthcare Technology

Part 2: What We Should Actually Build

Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD

ai-in-medicineclinical-aiclinical-decision-support
Technology

From Walled Gardens to Living Evidence: Why Evidence-Based Medicine Is Being Rewritten by Compute

The history of medicine is, at its core, a history of how we manage information. For decades, Evidence-Based Medicine (EBM) has been our North Stara ri...
Insurance denial forms being cut through by a glowing line of code
Healthcare Technology

How I Used Code (and AI) to Fix One of Healthcare’s Most Painful Bottlenecks: Prior Authorizations

Specifically, the Prior Authorization (PA).

ai-in-healthcareatlanta-perinatal-associatesclinical-workflow-optimization
Disposable paper notepad transforming into a glowing digital interface
Physician Development

The Era of the Clinical Scratchpad: Why Every Doctor Should Build "Disposable" Software

For the past two decades, medical software has been synonymous with monolithic platformsEpic, Cerner, and their ilkmassive systems designed to serve e...

healthcare-innovationai-in-medicineclinical-informatics
Technology

Doctors Who Code Blog Post

I just did something that would have been unthinkable five years ago: I cancelled my UpToDate subscription.
Blogging

Why ChatGPT and LLMs Are Professional Tools, Not Shortcuts: Drawing the Line That Actually Matters

I've noticed something interesting in physician circles lately: there's significant hand-wringing about whether using ChatGPT or other LLMs constitutes ...

chatgptdoctors-who-codehealthcare-innovation
Healthcare Technology

PGIS: When Medicine, Endurance, and Code Collide — Looking for Collaborators

I'm a maternalfetal medicine physician managing complex, high-risk pregnancies. I have long-standing type 2 diabetes. And right now, I'm training for m...

continuous-glucose-monitoringdiabetes-management-technologyendurance-training-with-diabetes
Shattered circuit board shaped like a stethoscope, symbolizing failed physician-built AI tools
Technology Featured

Why Most Physician-Built AI Tools Will Fail (And How to Build the Ones That Won't)

Medical Director, Atlanta Perinatal Associates | Founder, CodeCraftMD

doctors-who-code
Physician dictation and ambient AI documentation represented as a transition from microphone input to structured clinical notes
Clinical + Code

The Microphone Finally Got Smart: Dictation Before and After the LLM Era

Dragon NaturallySpeaking trained physicians to talk like machines. Ambient AI scribes are starting to listen like clinicians. Here is what changed after 2022 and why it matters for every doctor taking care of patients.

· 7 min read
clinical-aidocumentationambient-ai
Blogging

Building PGIS: A Vibe-Coded Performance Glycemic Intelligence System

Why Im tracking blood sugar like a developer and training like an athlete
Blogging

Why I'm Bullish on Doctors Who Code: In Agreement with Robert Wachter

By Dr. Chukwuma Onyeije, MD | January 19, 2026

doctors-who-codemedical-informatics
Healthcare Technology

CodeCraftMD on Hiatus, Not Abandoned: What Happens After the Weekend Prototype

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 ...

doctors-who-codehealthcare-automationmedical-technology
Physician in scrubs coding late at night with multiple browser windows open
Technology

Vibe Coding for Clinicians: How I Built a Medical App in One Weekend

At 3:47 AM on a Tuesday, I was manually transcribing my seventh high-risk OB consultation of the day into our EMR. The patient had a complex fetal cardi...
Technology

A Weekend Project for Clinicians: Building an HTML Slide Repository for Maternal–Fetal Medicine

Most MaternalFetal Medicine (MFM) physicians accumulate years of teaching materialPowerPoint decks, PDFs, screenshots, and handouts scattered across l...
Blogging

Stop Searching "How to Code Like a Software Engineer": A New Path for Physician-Developers

Medical Director, Atlanta Perinatal Associates | Creator of CodeCraftMD & PreEclampsiaWatch

doctors-who-codehealthcare-automation
Physician reaching from a medical textbook toward a laptop with glowing code
Technology

How Doctors Learn to Code in 2026: Why the New Path Beats Tutorials, Bootcamps, and YouTube Overload

A manifesto for physicians who want to build software, solve clinical problems, and actually ship products.

agentic-workflowsai-in-healthcareautomated-medical-billing
Physician looking frustrated at AI-generated clinical documentation on a computer screen
Healthcare Technology

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

By Dr. Chukwuma Onyeije, MFM Specialist & Founder of CodeCraftMD

ai-medical-scribesambient-aiclinical-documentation
Technology

The Disappearing Note: How Automation Is Rewriting Clinical Documentation

By Dr. Chukwuma Onyeije | MaternalFetal Medicine

ai-applicationsdoctors-who-codehealthcare-automation
Technology

The Bot Manager Fallacy in Healthcare

<iframe src='https://chukwumaonyeije.github.io/bot-manager-fallacy/blog/bot-manager-fallacy' width='100%' height='1800' style='border:0;' loading='lazy'...
Blogging

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

> Keywords: AI clinical documentation, ambient transcription, EvidenceMD, CodeCraftMD, physician automation, clinical workflow, medical billing automati...

ai-in-healthcareai-revolutionambient-ai
Blogging

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

When algorithms and clinical intuition clash, who do you trust? A physician-programmer shares the moment data pointed one wayand instinct saved a life....

ai-in-healthcare-limitationsclinical-instinct-vs-dataclinical-intuition-ai
Blogging

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 physicians shift is spent in direct patient contact. The rest the in...

healthcare-automationmaternal-healthmedical-software
Blogging

Voice, Vision, and the Doctor in the Loop

> At the highest level of abstraction are visual and audio interfaces the demarcation between technical and non-technical professionals is breaking do...

healthcare-automationhealthcare-innovationmedical-software
Blogging

🧠 From Machine Code to Medical Code

> Each generation begins not from zero, but from the highest abstraction level achieved by the previous one. Sean McClure, Discovered Not Designed

ai-applicationshealthcare-automationhealthcare-innovation
Technology

The Bridge Builder’s Mind: Progress by Abstraction

Doctors Who Code: Progress through Abstraction Series, Part 1 The integration of programming into medical practice is transforming the way healthcare pr...

ai-applicationsfetal-monitoringhealthcare-automation
Blogging

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

> Human progress isnt the result of smarter people its the result of smarter layers.

abstraction-theoryai-and-physiciansartificial-intelligence-in-healthcare
Blogging

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

When clinicians hear about artificial intelligence, we often jump straight to buzzwords like deep learning or neural networks. But behind every powe...

ai-in-medicinemachine-learningmedical-data
Technology

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

For medical professionals exploring how technology can transform patient outcomes, the management of diabetes in pregnancy (DIP)whether Type 1 Diabetes...
Blogging

What Is Machine Learning?

Ive recently started reading Why Machines Learn by Anil Ananthaswamy, a book that traces the elegant mathematics behind modern artificial intelligence....

anilananthaswamyartificial-intelligencebooknotes
Technology

When Fear Clouds the Future: Why AI in Healthcare Deserves Nuance, Not Alarm Bells

Thats the headline that sticks dramatic, chilling, and meant to slam the brakes on any optimism about AI in medicine. But heres the truth: fear-driv...
Technology

Monte Carlo Simulations in Maternal-Fetal Medicine: A Computational Approach to Clinical Uncertainty

Transforming clinical variability into actionable probabilities for evidence-based maternal-fetal care
Technology

The Algorithm and the Bedside: A Narrative Exploration of Artificial Intelligence in Maternal-Fetal Medicine

The fluorescent lights in the labor and delivery unit hummed softly as Dr. Adaeze Okafor approached her first patient of the day. For thirty years, she ...
Technology

The PERFORM Study: What Happens When AI and OB-GYN Residents Go Head-to-Head?

Artificial intelligence is no longer just a buzzword in healthcareit is becoming a real, measurable force in medical education and clinical decision-ma...
Technology

The Marvelous Mind of Johnny von Neumann

!(https://gemini.google.com/share/83cef3e83524)
Technology

📈 From Fingersticks to the Future: How CGM is Transforming Gestational Diabetes Care

At Atlanta Perinatal Associates, weve taken that message to heartand to code.
Technology

Transforming Patient Care with AI: How to Use Ambient Scribe Technology and ChatGPT in Your Medical Practice

Imagine transforming your patient consultations into polished, informative presentations with minimal effort. In the fast-paced world of medicine, effic...

ai-applicationshealthcare-automationhealthcare-innovation
Blogging

Revolutionizing Maternal Care: Integrating Fetal Kick Counters with EMR Alerts - A Proposal

A response to 'Connecting with Fetus: The Use of App-Based Fetal Movement Counting and Experiences During Pregnancy and Birth' (2025)

ai-applicationshealthcare-automationhealthcare-innovation
Technology

A Look into the Future: How AI and Eye Scans Could Save Mothers' Lives

Imagine walking into a clinic for a routine prenatal check-up. Instead of just the usual measurements, you have a simple photograph taken of the back of...

ai-applicationshealthcare-automationhealthcare-innovation
Blogging

AI-Powered Maternal Health: How Advanced Technology Can Reduce Preeclampsia Complications

Every 7 minutes, a woman dies from complications of pregnancy and childbirth-related hypertensive disorders. Preeclampsia alone affects 5-8% of all preg...

ai-applicationshealthcare-automationmaternal-health
Blogging

The Scalpel and the Algorithm – A New Era for Physicians

In today's data-driven healthcare landscape, physicians who understand both medicine and code are becoming the new pioneers of patient care. Imagine dia...

fetal-monitoringhealthcare-innovationmedical-informatics
Technology

The Dangerous Limitations of Static AI in Maternal Care: When Preeclampsia Prediction Models Fail Over Time

Imagine being able to predict which pregnant patients are on the brink of severe complications with data-backed precision. That's the holy grail in mate...

fetal-monitoringhealthcare-automationmaternal-health
Technology

How AI Can Uncover Hidden Cardiovascular Risks in Pregnancy: A Case for Smarter Screening

An analysis of: Gestational Blood Pressure Trajectories and 5-Year Postpartum Hypertension Risk in the MADRES Study
Python code connecting to the Epic FHIR sandbox API, displayed on a dark terminal background
Practical Development Featured

The Physician-Developer's FHIR Playbook: How to Pull Real Clinical Data from Epic Using Python

A step-by-step tutorial for physician-developers on authenticating with the Epic FHIR sandbox, making your first API call in Python, and building toward a SMART on FHIR clinical app -- no enterprise contract required.

· 14 min read
fhiremrepic
Healthcare Technology

Predicting Preeclampsia Risk in the Digital Age: What Consecutive Modeling Means for Your Patients

Every seven minutes in the United States, a woman is diagnosed with preeclampsiaa pregnancy complication that remains one of the leading causes of mate...

ai-applicationsfetal-monitoringhealthcare-automation
Technology

Revolutionizing Maternal Care: How Deep Learning is Transforming Fetal Monitoring and Preventing Birth Complications

By Dr. Chukwuma Onyeije Doctors Who Code
Technology

Transform Your Medical Practice in 2025: The AI Revolution for Coding Doctors

> 'I was skeptical at first, but this AI system saved my practice. I'm saving 20+ hours per week and catching rare diagnoses I might have missed,'
Technology

Breaking Barriers: GPT-4 Matches Physician Performance on Medical Board Exams

In a groundbreaking development that signals a new era in healthcare, artificial intelligence has achieved what many thought impossible: performing at t...

ai-assisted-diagnosisartificial-intelligence-in-medicineclinical-decision-support
Technology

The Hidden Side Effect of Medical AI Nobody Talks About

In an era where AI and automation promise to revolutionize healthcare, a 19th-century economic principle reveals a hidden risk:Jevons' Paradox. This ph...

doctors-who-codehealthcare-automationhealthcare-innovation
Blogging

Revolutionizing Medical Imaging with Container Technology: A Busy Physician’s Guide

Discover how containerization is transforming medical imaging for busy clinicians who code. Learn how Docker and Singularity can enhance reproducibility...

ai-imaging-pipelinescontainer-securitydocker-healthcare
Technology

Blog Post Part 2 of 2: "Harnessing AI to Manage Hypertension in Pregnancy"

Explore how AI revolutionizes hypertension care in pregnancy. From risk prediction to personalized treatment, learn how doctors can leverage technology.
Technology

Blog Post Part 1 of 2: "How Telehealth and AI Are Transforming Pregnancy Care"

Discover how telehealth and AI revolutionize care for hypertension during pregnancy. Learn the latest strategies to improve maternal health outcomes.
Technology

Is this the future of medical care?

> https://bsky.app/profile/chukwumaonyeije.bsky.social/post/3lennwevzjc2v
Technology

Unlocking Generative AI: A Physician’s Guide to Artificial Intelligence

Physicians, often strapped for time and resources, can benefit immensely from understanding and leveraging this technology.
Healthcare Technology

Deep Medicine: AI and the Humanization of Healthcare

https://youtu.be/ZWAnjdQy5kE?si=d5EXu5yfbaODsA9j
Healthcare Technology

GitHub AI Projects for Physicians: A Comprehensive Guide to Getting Started with Medical AI Development

The intersection of artificial intelligence and healthcare represents one of the most promising frontiers in modern medicine. For physicians interested ...

clinical-decision-supportgithub-ai-projectshealthcare-data-analysis
Technology

Coming Soon: Ensuring Data Privacy in AI-Powered Healthcare: A Comprehensive Guide

Physician-developer insights from Dr. Chukwuma Onyeije, MD, FACOG.
Technology

Can Artificial Intelligence &amp; Probiotics Collaborate to Prevent Preterm Birth?

Every year, countless families face the heartbreak of preterm birth, with preterm premature rupture of membranes (PPROM) playing a significant role. Ima...

ai-applicationsfetal-monitoringhealthcare-automation
Technology

Streamline Your Workload: The Clinician's Guide to Effortless Document Summarization

!(https://app.typeset.com/play/8JM8G)
Healthcare Technology

Ensuring Data Privacy in AI-Powered Healthcare: A Comprehensive Guide

Imagine this: a cyberattack exposes the personal and medical information of millions of patients, leaving them vulnerable to identity theft and financia...

ai-applicationshealthcare-automationmaternal-health
Technology

From #Hashtags to Code: Why Every Doctor Should Embrace the Power of the #

When Chris Messina first proposed using the pound symbol for grouping content on Twitter in 2007, few could have predicted its impact on healthcare comm...
Technology

"Connecting the Dots": How Network Science Can Revolutionize Patient Care

Imagine this: Every prescription, diagnostic scan, or patient encounter you document contributes to a larger, invisible web of dataone with the power t...
Healthcare Technology

PlacentaVision AI: Revolutionizing Maternal Health with Smart Imaging

Discover how Placentavision AI transforms maternal healthcare using smartphone-based placental imaging. Learn how this breakthrough technology saves liv...

ai-applicationsai-in-healthcareglobal-healthcare-equity
Healthcare Technology

Unlock Efficiency: How Document Summarization Transforms Healthcare for Busy Clinicians

Imagine entering your clinic and being greeted by a flood of patient records, lab reports, and journal articles, each demanding your immediate attention...

ai-applicationsfetal-monitoringhealthcare-automation
Healthcare Technology

Ambient Scribe Technology: A Prescription for Physician Burnout and Enhanced Patient Care in 2024

The prevalence of physician burnout has become a critical concern, with nearly half of all physicians reporting symptoms in 2023 . A significant c...
Healthcare Technology

How Quantum Computing Is Revolutionizing Healthcare: A Simple Guide to Medicine's Next Big Leap

Imagine a world where new life-saving drugs are discovered in days instead of decades. Where doctors can predict exactly how your body will react to a t...

ai-applicationshealthcare-automationhealthcare-innovation
Technology

Transforming Prenatal Care: The Role of AI in Obstetric Ultrasound

Discover how AI in obstetric ultrasound is reshaping prenatal care by improving diagnostic accuracy and access to care. Learn about its benefits and fut...
Technology

AI-Powered Ultrasound: Transforming Prenatal Care with Cutting-Edge Technology

In recent years, artificial intelligence (AI) has leaped from science fiction into real-world applications, revolutionizing industries from finance to t...

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Technology

When Code Meets Care: A Doctor's Journey into AI-Powered Medicine

In today's rapidly evolving world, the fusion of artificial intelligence (AI) and healthcare is reshaping the way we diagnose, treat, and care for patie...

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Technology

AI in Obstetrics: Transforming Maternal Care Through Innovation

Artificial intelligence (AI) is revolutionizing obstetric care, empowering healthcare providers to deliver precise, timely, and personalized interventio...

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Technology

Build Better Healthcare Tools: A Physician's Guide to Web Frameworks &amp; APIs

Discover how physicians can harness web frameworks and APIs to improve patient care, streamline practice operations, and drive healthcare innovation. St...

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Healthcare Technology

Python Programming for Physicians: A Complete Guide to Healthcare Analytics

Meta Description: Learn how Python programming can revolutionize your medical practice. From patient data analysis to AI diagnostics, discover practical...

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Technology

AI in Preeclampsia Prediction: Transforming Maternal Healthcare Through Technology

Traditional preeclampsia prediction methods have historically relied on clinical risk factors and basic laboratory tests, achieving sensitivity rates of...
Technology

AI Meets HUAM: A New Chapter in Maternal Care Technology

Home Uterine Activity Monitoring (HUAM) emerged in the 1990s as a promising innovation for detecting preterm labor in high-risk pregnancies. While initi...
Technology

Innovative Solutions That Merge Technology and Community Action Can Transform Maternal Health Outcomes

Maternal health is a cornerstone of public health, yet it remains a challenge in many parts of the world. As a maternal-fetal medicine specialist, Ive ...
Technology

The Role of AI in Maternal-Fetal Medicine: Revolutionizing Prenatal Care

Unlocking the Potential of Artificial Intelligence for Safer and More Personalized Pregnancies
Healthcare Technology

Why Every Doctor Should Embrace Coding Skills

In today's rapidly evolving healthcare landscape, the ability to code is becoming increasingly valuable for physicians. As healthcare becomes more data-...

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Technology

Exploring Digital Twins in Healthcare: A Game-Changer for Precision Medicine

The concept of Digital Twins is transforming healthcare by creating a revolutionary pathway toward personalized and precision medicine. For physicians i...
Technology

Unlocking LangChain: A Game-Changing Tool for Developers in Maternal-Fetal Medicine

Langchain is an innovative tool designed for developers looking to harness the power of advanced AI systems, particularly large language models (LLMs) l...

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Technology

Embracing Coding in Medicine: A New Frontier for Clinicians

In the rapidly evolving landscape of healthcare, the integration of technology has become undeniably pivotal. As a maternal-fetal medicine specialist, I...
Technology

The Future of Medicine: Embracing Coding in Healthcare

In today's rapidly evolving healthcare landscape, the convergence of medicine, technology, and coding is more critical than ever. As a maternal-fetal me...