For Clinicians & Health Systems
Evaluate AI the way you evaluate trials. Strategy and safety for physicians, NPs/PAs, educators, and health-system leaders — with CertaintyGrade for GRADE depth.
Why this hub
After 25 years in medicine, the gap between a good idea and a good outcome is almost always about evidence — how you evaluate it, how you translate it, and how you apply it when a decision is on the line.
This page is for clinicians and health systems: high-level strategy, safety screening, and thought leadership. Methodology worksheets and journal club tools live on CertaintyGrade.com.
Lead magnet · Email required
Seven questions to ask before a clinical AI tool earns a place in your workflow — regulation, explainability, your patient population, physician oversight, failure modes, real-world evidence, and adverse-event reporting. The full report is emailed after signup.
Prefer the dedicated page? See the cover & get the report →
2028 foundation · No checkout yet
Laying groundwork for a Clinical AI Strategy Consult with health systems and clinics, and a future cohort course — The Clinical AI Strategist — for physicians and executives. Join the list to hear when openings are real. Nothing to buy today.
1:1 advisory · Health systems / clinics
Planned band: $5k–$10k/mo when offers open. Foundation-building now via the guide lead magnet and B2B conversation.
Cohort course · Clinicians / executives
Planned band: $997–$1,997. Curriculum seeds from hub articles, podcast Clinical AI series, and the fourth-book outline.
Writing
Automation bias in healthcare is rewiring how physicians think and decide. Here is what it is, why clinical AI accelerates it, and what to do before the habit sets.
An ambient AI scribe can free documentation minutes. The real question for clinicians and health systems is whether that time goes to the patient, the evening, or another visit.
FDA's August 2026 discussion paper asks how to regulate generative AI medical devices. Comments close October 19. Here is what physicians should weigh in on.
AI tools are entering clinical practice faster than physicians can evaluate them. Here's a practical framework for spotting AI hallucinations before they harm patients - from a physician with 25+ years in practice.
Artificial intelligence (AI) has been making headlines across industries for the past few years. Healthcare is no exception, as AI has the potential to revoluti
