In this AMDIS Roundtable, Dr. Eve Cunningham (Cadence), Dr. Howard Landa (Adventist Health), and Dr. Deepti Pandita (UCI Health) explore what it really means to build an AI-ready EHR. Moving beyond features and vendor roadmaps, they examine how data governance, workflow design, and clinical validation shape the physician's day — from inbox overload to exam-room disconnect. Together, they discuss shadow AI, cognitive burden, and the hard tradeoffs between optimizing legacy workflows and redesigning care. Their message is clear: the next generation EHR isn't about adding more technology — it's about restoring clinical cognition and rebuilding trust in how care gets delivered.

• Bad data leads to bad AI — governance must come first.
• AI is math, not magic — noisy and inconsistent data amplify risk.
• Clinical validation is as important as data hygiene for meaningful AI use.
• The EHR disrupts connection when clinicians must focus on screens instead of patients.
• Ambient documentation restores presence but does not yet create a true intelligent clinical partner.
• Most AI tools solve isolated tasks, not the full end-to-end care workflow.
• Health systems need internal prompt and AI literacy — clinicians are not trained engineers.
• Third-party innovation fills gaps, but long contracts slow adaptation.
• Shadow AI often signals unmet needs, not noncompliance.
• Governance should enable safe experimentation rather than block innovation.
• Clinicians remain accountable for AI-driven decisions under current regulations.
• Patients are rapidly adopting AI tools, often without reliable guardrails.
• AI's highest near-term value is reducing cognitive and administrative burden.
• True progress requires redesigning workflows, not endlessly optimizing legacy processes.
• Leadership prioritization, not technology limits, often slows transformation.
• The next generation EHR must restore clinical cognition and trust.

00:00 | The Key to a Successful EHR: Restoring Clinical Cognition
02:36 | When the EHR Slows Care Instead of Supporting It
01:08 | Why This Isn't About Features or Vendor Roadmaps
02:36 | When the EHR Slows Care Instead of Supporting It
03:46 | AI Is Math, Not Magic
04:05 | Data Governance as the Prerequisite for AI
05:23 | Governance + Clinical Validation = Actionable Intelligence
06:44 | The Keyboard Breaks the Sacred Patient Encounter
08:25 | Ambient Tools and the Return of Joy in Medicine
09:19 | The "Intelligence-Ready" EHR Vision
11:10 | Why Clinicians Aren't Prompt Engineers
12:39 | Is Epic Cosmos Ready for Prime Time?
14:01 | Contextual, Specialty-Specific Views at the Point of Care
15:08 | Third-Party Innovation vs EHR Vendor Lag
16:49 | When to Replace vs Layer New AI Tools
18:09 | Shadow AI as a Signal of Unmet Need
19:08 | Enabling Safe Experimentation Through Governance
20:55 | If AI Makes a Mistake, Who Is Liable?
23:35 | Where AI Should Help First: The Patient Journey
25:19 | Patients Are Already Using AI for Medical Advice
27:33 | Cognitive Scaffolding: Removing Clinical Noise
28:31 | Intelligent Synthesis vs Data Mining
29:13 | The Peer Challenge: How Do We Move 2–3x Faster?
30:02 | Leadership Indecision Slows Transformation
30:47 | Stop Optimizing Legacy Workflows
31:46 | Final Message: Technology Isn't the Barrier Anymore

Guests: Dr. Eve Cunningham, Dr. Howard Landa, Dr. Deepti Pandita
Host: Gregg Malkary - Lighthouse Healthtech
Cohost: Keith Washington - Companions in Courage Foundation
Sponsored by: Simplifi Medical & Storage Systems Unlimited
Audio/Video: Tim Jones - Health Nuts Media
Marketing: Josh Troop - Troop-Creative
Learn More at: www.beyond-blueprint.com