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8-15 minute episodes covering AI workflows, compliance frameworks, and diagnostic innovation. Filter by track or access level.
81% of physicians use AI professionally. Only 16% feel knowledgeable about it. This episode lays out the gap, why it's dangerous, and what this platform exists to fix.
A clear-eyed tour of what AI can and can't do in clinical settings today. Tool categories, adoption data, FDA clearances, and the five misconceptions that get physicians into trouble.
A practical 5-point framework for evaluating any AI tool before deploying it in your practice. Accuracy, integration, compliance, cost, and evidence — the questions that separate useful tools from liability traps.
When AI generates a clinical note, suggests a diagnosis, or recommends a treatment — you're still the physician. Here's what that means for liability, documentation, and professional identity.
A head-to-head comparison of the top 5 AI scribes — Abridge, DAX Copilot, Nuance, Suki, and Nabla. What works, what doesn't, and what your compliance officer needs to know.
The gap between HIPAA guidance and real-world AI usage. How to evaluate vendor BAAs, what counts as PHI in AI workflows, and the malpractice implications nobody talks about.
Function Health, InsideTracker, and at-home panels are changing patient conversations. How to interpret consumer labs, set expectations, and protect yourself legally.
Prior authorization eats 14 hours per physician per week. We test the AI tools claiming to fix it — Cohere Health, Rhyme, and custom GPT workflows.
When AI gets it wrong in a clinical context, the stakes are different. How to validate AI outputs, what to document, and when to override.
Patients are bringing wearable data to appointments. How to interpret it, what's clinically relevant, and how to bill for the extra time.
A practical blueprint for turning scattered AI usage into a written governance policy your practice can actually enforce. We cover approval workflows, board oversight, incident response, and staff training without turning compliance into bureaucracy.
Most AI ROI claims are marketing. We focus on the operational and financial metrics that tell you whether a tool is truly saving time, improving throughput, and reducing cost per encounter.
Apple Watch traces, sleep scores, and CGM screenshots are now routine parts of patient visits. We break down what wearable data is clinically useful, what is noise, and where the legal and billing boundaries actually sit.
AI can help coding teams, but only in the right part of the workflow. We compare documentation improvement, code validation, and risk adjustment use cases to separate real revenue-cycle gains from compliance trouble.
The difference between a good AI output and a dangerous one is the prompt. We share 8 clinical prompt patterns that produce reliable, auditable results — and the 3 anti-patterns that create liability.
Malpractice carriers are starting to ask about AI usage on applications. We break down what underwriters look for, what increases your premium, and what documentation protects you.
Every health system needs an AI governance committee, but most are doing it wrong. We walk through the charter, composition, and decision framework that actually works — based on what leading systems have deployed.
The patient message inbox is the #1 source of after-hours physician burnout. We test 4 AI approaches to inbox management — draft responses, triage routing, template matching, and smart escalation.
Virtual visits create unique AI opportunities — ambient capture works differently, documentation is simpler, and patient engagement tools have more surface area. We break down what's different.
More practices are deploying patient-facing AI for triage, scheduling, and symptom assessment. We evaluate what's safe, what's risky, and what your patients actually want.
AI tools for depression screening, anxiety monitoring, and behavioral health documentation are proliferating. We examine what works, what's premature, and where the ethical lines are.
AI tools can now match patients to eligible clinical trials in seconds. We review the platforms, the accuracy, and how to integrate trial matching into your practice workflow.