The Problem

You’ve seen it happen.

The healthcare AI demo is flawless. The pitch deck is compelling. The pilot shows promise.

Then production hits. And everything falls apart.

73% of healthcare AI pilots never make it to production.

Not because of bad engineering. Not because of insufficient funding.

Because teams miss the patterns that predict failure: compliance blindness, workflow mismatches, wrong stakeholders making decisions.

Edge cases aren’t edge cases in healthcare. They’re Tuesday.

What This Is

Edge Cases is where healthcare AI meets clinical reality.

This is a weekly newsletter for founders building healthcare AI products, physicians navigating tech careers, and product leaders trying to ship things that actually work in clinical environments.

No vendor pitches. No AI hype. Just patterns from someone who’s:

  • Led AI products at Genentech supporting global clinical trials
  • Founded healthcare companies from zero to production
  • Seen what kills projects—and what saves them

You’ll get:

  • Tactical frameworks on compliance, clinical adoption, and stakeholder strategy
  • Real patterns from pharma, startups, and production failures
  • Career insights for physicians transitioning to tech
  • Honest assessments of what works and what doesn’t

Published weekly. Usually 400-500 words. Always worth your time.

Who This Is For

You should subscribe if you:

✓ Build healthcare AI products and want them to reach production (not just pilot purgatory)

✓ Lead product teams in digital health and need to navigate FDA, HIPAA, and clinical workflows

✓ Work at a health tech startup trying to figure out why pilots aren’t converting

✓ Are a physician considering a transition to tech and want to understand what actually transfers

✓ Make purchasing decisions for healthcare AI and want unfiltered perspectives

✓ Think “move fast and break things” doesn’t work when things can literally break

You should NOT subscribe if:

  • You’re looking for AI hype or vendor content
  • You want academic theory without implementation reality
  • You’re building consumer tech (this is healthcare-specific)
  • You prefer surface-level takes to deep pattern analysis

Who Writes This

I’m Victor Phillips.

Background:

  • M.D. from European medical school (physician by training)
  • Former Genentech - Led AI product platforms supporting clinical trials globally
  • 2x Founder - Built healthcare SaaS from concept to production
  • Product Leader - Scaled digital health products across regulated environments

The uncommon combination:

  • Medical training → I understand clinical workflows and regulatory requirements
  • Product leadership → I’ve shipped things to production in healthcare
  • Founder experience → I know what kills companies and what scales them

I’ve made the mistakes so you don’t have to. I’ve also seen what works when smart teams get it right.

What I do now:

  • Advisory for healthcare AI companies navigating compliance, clinical adoption, and product-market fit
  • Career guidance for physicians transitioning to tech roles
  • Writing this newsletter to share what actually works

Why “Edge Cases”?

In healthcare, what tech companies call “edge cases” are actually Tuesday.

The unusual patient. The unexpected interaction. The regulatory requirement nobody mentioned in the demo.

These aren’t exceptions. They’re the reality of building in healthcare.

Most healthcare AI fails because teams optimize for demos instead of Tuesday. They build for the happy path, not the messy middle where clinical reality lives.

This newsletter is about Tuesday.

The patterns that predict failures. The workflows that matter. The stakeholders who actually make decisions.

If you’re navigating the messy middle between demos and deployment, you’re in the right place.

What You’ll Learn

Healthcare AI Implementation

  • Why 73% of pilots fail (and how to be in the 27%)
  • Compliance mistakes that kill startups
  • Clinical workflow integration that actually works
  • Stakeholder strategy for healthcare buyers

Physician Career Transitions

  • What medical training actually transfers to tech
  • How to position yourself as a category-of-one professional
  • Career paths from M.D. to product, strategy, and advisory
  • Why your medical degree isn’t worthless (you’re just misclassified)

Product Strategy in Healthcare

  • Building products clinicians actually use
  • Navigating FDA, HIPAA, and regulatory complexity
  • Product-market fit in regulated environments
  • Enterprise sales cycles in healthcare

Real Talk

  • What Genentech taught me about AI at pharma scale
  • Production failures I’ve seen (and what could have saved them)
  • The identity work required when you’re between professional forms
  • Honest assessments of trends, tools, and strategies

How This Works

Free Subscribers Get:

  • Weekly newsletter (every Tuesday)
  • Full access to all posts
  • Archives of past content
  • Frameworks, templates, and tactical guides

Paid Subscribers Get ($15/month or $150/year):

  • Everything above, plus:
  • Monthly live Q&A / office hours
  • Community access (private Slack/Discord)
  • Early access to courses and workshops
  • Direct responses to your questions
  • “Ask Me Anything” threads

Both tiers get the same content. Paid is about supporting the work and getting more direct access.

(Paid tier launches Month 4. For now, everything is free.)

The Approach

Honest, not hype.
I’m not selling you AI tools. I’m sharing what works and what doesn’t from someone who’s built in this space.

Patterns, not prescriptions.
Healthcare is complex. There are no universal solutions. But there are patterns that predict success and failure.

Tactical, not theoretical.
You’ll get frameworks you can apply Monday morning. Not academic papers you’ll never read.

Inclusive, not exclusive.
I write for physicians, founders, and product leaders. You don’t need a Ph.D. in ML or an M.D. to get value here.

Themes You’ll See

“Edge cases aren’t edge cases. They’re Tuesday.”
What looks like an exception in tech is standard operating procedure in healthcare.

“Most failures are predictable.”
With pattern recognition, you can see what kills projects before they die.

“You’re not lost. You’re misclassified.”
If you’re a physician feeling stuck, a founder struggling with healthcare, or a product leader who doesn’t fit boxes—you’re not broken. Systems just don’t know how to evaluate you.

“The shift wasn’t hustle. It was integration.”
Career transitions require identity work, not just skill acquisition.

What I Won’t Do

I won’t:

  • Hype AI capabilities beyond clinical reality
  • Pretend everything is simple when it’s complex
  • Give you vendor pitches disguised as content
  • Claim universal solutions to context-dependent problems
  • Gate-keep knowledge or make you feel stupid for asking questions

Healthcare is hard. AI in healthcare is harder. We’re all figuring this out.

Recent Posts

coming soon

Let’s Connect

Subscribe to get weekly insights:
[Subscribe button]

Work together:
If you’re building healthcare AI or navigating a physician-to-tech transition, I offer advisory and coaching. Book a call

Follow along:

Have a question?
Reply to any email. I read and respond to every message.

Testimonials

coming soon

Fine Print

Who am I writing for?
Founders, product leaders, and physicians who are building healthcare AI or navigating tech careers. Primarily US-based but relevant globally.

How often do you publish?
Weekly, every Tuesday morning. Occasionally more if something urgent comes up.

Do you have a paywall?
Not yet. Currently 100% free. Paid tier (with community access and office hours) launches Month 4.

Can I share your posts?
Please do. Forward to colleagues, share on LinkedIn, quote with attribution. Just don’t republish full posts without permission.

How long are posts?
Usually 400 words. Long enough to be useful, short enough to read in one sitting.

Do you do sponsored content?
Not currently. If I ever do, it will be clearly labeled and only for products/services I actually use and recommend.

Can I unsubscribe?
Yes, anytime. Link at bottom of every email. No hard feelings.

Start Here

New to Edge Cases? Start with these posts:

  1. “Why 73% of Healthcare AI Projects Fail” - The patterns that predict failure
  2. “From M.D. to Product Leader” - What medical training actually transfers to tech
  3. “Edge Cases Aren’t Edge Cases” - Why healthcare is different from consumer tech
  4. “The $10M Compliance Mistake” - PHI and AI in production

Subscribe

Get weekly insights on healthcare AI, physician careers, and building products that actually work.

Edge cases aren’t edge cases. They’re Tuesday.

Let’s navigate them together.

Join Yuuki Edge
Stay informed. Lead decisively. Build the future.

Subscribe Now!