Doctors are spending hours after dinner finishing clinical notes — what the industry calls "pajama time." They're typing while patients talk, missing details, and burning out. And some are retiring early because of it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Myer Media) sits down with Laurent from Nabla to explore how AI-powered clinical documentation is transforming the patient-physician relationship — and why reliability, trust, and deep EHR integration are what separate real clinical AI from tools that are still finding their way.🔗 Learn more at nabla.comTopics covered:What Nabla does — listening to clinical encounters and generating structured notes automaticallyWhat makes Nabla different — privacy-first, deeply customizable, and EHR-integratedWhy reliability in clinical AI is fundamentally about trust and transparencyWhy clinicians cannot afford five minutes of downtime once they depend on the toolHow AI as a "side memory" changes how doctors show up for patientsThe pajama time problem — clinicians documenting for hours after their shift endsFour clinicians who delayed retirement because Nabla reduced their administrative burdenImplementation in as little as two weeks with Epic, Oracle Cerner, Athena, and othersPrivacy — Nabla transcribes in real time without recording or storing conversationsThe partnership with MAI Labs and what world models mean for clinical decision supportWhat's driving Nabla's growth and the move to support all specialties⏱️ YouTube Timeline0:00 — Introduction — What it takes to build AI that is dependable at clinical scale0:36 — What Nabla does — listening summarizing and automating clinical workflows0:57 — What makes Nabla different — privacy customization and deep EHR integration1:13 — How crowded the clinical AI space has gotten and what separates the ready from the rest1:26 — Three years 200 health systems and the messy reality of real-world encounters2:04 — What reliability actually means when AI is embedded in a clinical workflow2:12 — Trust transparency and keeping the clinician in control at all times3:09 — Why 99.9% uptime is non-negotiable when doctors depend on AI as their memory3:36 — What happens when AI goes down and clinicians revert to old habits3:56 — AI as a side memory — the phone battery analogy4:34 — Right data right patient right prescription — the accuracy case for clinical AI4:59 — The patient experience when the doctor stops typing and starts listening5:34 — A personal story — what it is like to watch your doctor type instead of listen5:59 — Pajama time — clinicians documenting for two hours after dinner6:30 — Four clinicians who delayed retirement because Nabla reduced their burden7:10 — How clinical leaders evaluate AI differently after past technology failures7:52 — Implementation in two weeks with Epic Oracle Cerner Athena and more8:30 — Privacy consent and why 99.9% of patients say yes9:46 — Better outcomes fewer missed orders prescriptions that actually get sent10:39 — LLMs vs world models — what the next generation of clinical AI looks like11:46 — The MAI Labs partnership and clinical decision support that reasons like a doctor12:42 — What is behind Nabla's growth and the move to support every specialty13:52 — Closing remarks and where to learn more🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization