Governance & Policy02
The Vendor Validated Their AI. That Doesn't Mean It Works Here.
Why vendor validation data is necessary but not sufficient for clinical AI — and what local validation actually looks like at community health organizations.
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Field notes on AI governance in community health.
12 articlesUpdated April 20265 governance domains
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Governance & Policy
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Every AI Vendor Says Their Product Is Validated. Here's How to Check.
A practical framework for evaluating AI vendor claims in healthcare — what to demand before signing, and the red flags most community health organizations miss.
RD
Ron Diver
Founder
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11 moreGovernance & Policy03
Your AI Is Probably Less Accurate for Your Most Vulnerable Patients
Clinical AI models can show strong aggregate accuracy while systematically failing the patients safety-net providers exist to serve. What CMOs and quality directors need to demand from vendors — and monitor internally.
Governance & Policy04
When AI Gets It Wrong, Who Investigates?
Existing patient safety frameworks weren't built for AI failures. Most community health organizations don't have an AI incident response plan. Here's what one looks like — and why you need it before something breaks.
Regulatory & Compliance05
Your AI Governance Framework Is Probably Wrong
Most health centers either have no AI governance or a borrowed template they never use. The real challenge is calibration — knowing which AI deployments need full review and which need a fast lane.
Regulatory & Compliance06
HIPAA Wasn't Built for AI. You Still Have to Comply.
AI creates compliance questions HIPAA never anticipated — PHI in training data, BAA gaps with AI vendors, fabricated clinical content. Here's what your compliance team should be asking right now.
Regulatory & Compliance07
There's No AI Law for Healthcare. That's Not the Same as No Rules.
The absence of a single healthcare AI regulation is not the absence of regulation. Requirements are forming across FDA, HIPAA, CMS, ONC, and state legislatures — and organizations without governance now will pay to retrofit it later.
Governance & Policy08
'We Need an AI Strategy' Is Not an AI Strategy
Most health system AI strategies are slide decks full of buzzwords. Here's what a real strategy looks like — and why the hardest part is saying no.
Risk & Safety09
ChatGPT Health Missed Half the Emergencies. That's Not Even the Real Problem.
A Nature Medicine study found ChatGPT Health undertriaged 52% of emergencies. But the deeper failure — the one nobody is measuring — is what happens after any AI system makes a clinical recommendation and no one tracks the result.
Clinical AI10
The Most Dangerous Advice in Healthcare Right Now Is 'Just Learn AI'
Everyone says clinicians need to learn AI. Almost nobody specifies what that actually means — and the gap is where careers get stuck.
Clinical AI11
The Clinical Judgment Premium: Why AI Makes Human Expertise More Valuable, Not Less
AI is commoditizing routine clinical work. That's not a threat to expertise — it's the economic force that makes expertise worth more.
Analysis12
Follow the Billing Code, Not the Algorithm: How Reimbursement Policy Will Decide Which Healthcare Roles Survive AI
The people who will determine what AI does to healthcare careers aren't building algorithms. They're writing billing codes at CMS.
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