Guides, research, and stories for physicians navigating AI-powered documentation.
AI in Healthcare From a curiosity in 2022 to a workflow standard at major health systems by 2026 — what changed, what works, and what physicians should still be skeptical about.
Read article →An interactive overview of Cagnea — what the ambient AI scribe does, how your day changes, and why it was built by physicians, for physicians.
EHR documentation has become the largest source of after-hours work for emergency physicians. The structural causes — and what is actually moving the number.
Point-of-care ultrasound has become a frontline ED tool. Now AI-assisted interpretation is changing how — and how confidently — physicians use it.
Medical Decision Making is where E/M level coding lives. Here's how to document the three pillars in ways that hold up to audit — without padding the chart.
From Software as a Medical Device to Predetermined Change Control Plans, the regulatory framework for clinical AI has matured. Here's the practical version.
For two decades the surgical robotics market was effectively one platform. The 2024–2026 wave of new entrants is changing that — with implications for cost, training, and outcomes.
Not all clinical AI tools take HIPAA seriously in the same way. A practical checklist for procurement teams, IT leaders, and physicians evaluating new tools.
From the first approved CRISPR therapy in 2023 to a growing pipeline addressing dozens of conditions, gene editing has crossed from research into practice. The 2026 picture.
Past the hype cycle, BCIs are crossing into clinical reality for specific patient populations. A grounded read on what's working in 2026 — and what isn't yet.
More AI tools have FDA clearance in radiology than any other specialty. The clinical reality of using them — what works, what's hype, and what's changing.
ICD-11 has been a global standard since 2022, but US adoption is just beginning. What's actually different — and what physicians should know now.