Healthcare CIO · CTO · AI Practitioner

David Evans —
AI — figuring out what
actually works.

Practitioner AI: building real things, documenting what works, and sharing what I learn — because the most useful AI voices belong to experienced practitioners.

About

Twenty years of
making technology work.

I spent my career as a healthcare CIO — leading technology strategy across some of the largest diagnostic and health system organizations in the country. Along the way I learned that the best technology decisions come from people who understand both the problem and the tools.

That belief is what drives my current focus on AI. Not the hype. Not the theory. The practice. I am building real things, documenting what works, and sharing what I learn — because I think the most useful AI voices right now belong to experienced practitioners, not just technologists.

My AI journey began with a simple question: can I actually build something useful without a development team? The answer turned out to be yes — but only once I started thinking like a builder instead of a user.

Career highlights

CTO — Antech Diagnostics (Mars Pet Health), $1.1B network, 45 countries
CIO — BioReference Health, $1B national diagnostic laboratory
CTO — Northwell Health Laboratories, $10.1B health system
VP IT / CIO — Quest Diagnostics, 1,500-person IT organization
BS Applied Physics — Stockton University
MIT Sloan · Harvard Kennedy School — executive programs

Projects

Real tools, built
without a developer.

● Live
Instant Pot Doc logo

Instant Pot Doc

Converts stovetop recipes for electric pressure cookers. Strict state machine flow, fill limit safety, ingredient substitutions, smart scaling. Built without a developer.

Full story →
● Live
DSE monogram

davidsevans.com

another AI journey

This site. Built by briefing Claude with a structured document, then iterating in a single session. A demonstration that the process works on its own terms.

Full story →
◑ In Testing

At Hand

A task management app for Apple, built using vibe coding on Base44. Currently in testing and preparing for Apple App Store submission.

Coming soon

Practitioner AI

A six-part LinkedIn series
on building with AI.

A weekly series documenting what it looks like to actually build AI tools — not as a developer, but as an experienced executive who decided to figure out what works. Posts publish weekly, Tuesday or Wednesday morning.

01

The Origin Story

How a practical experiment with recipe conversion became a lesson in AI consistency — and the beginning of a larger journey.

Published Apr 11
02

The Victory Lap That Wasn't

Prompt drift, ChatGPT diagnosing its own ceiling, and the moment I realized I needed a different tool.

Published Apr 16
03

The Pivot

I brought everything I had built to a different AI. What happened next surprised me.

Published Apr 24
04

I Asked AI to QA Itself

The tool was live. But had I actually solved the consistency problem?

Published Apr 30
05

The Governance Question

AI needs the same discipline any well-run project needs. Prompt engineering turns out to have more in common with writing good requirements than writing code.

Published May 5
06

The Wrap

Three layers, one recipe converter, and why AI is not an unattended panacea. Next up — vibe coding.

Coming soon

Contact

Let's connect.

Email

dse.usa@gmail.com

LinkedIn

davidsevans1