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8-15 minute episodes covering AI workflows, compliance frameworks, and diagnostic innovation. Filter by pillar or access level.
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.