Doctors are spending hours after dinner finishing notes — a phenomenon the industry calls “pajama time.” They’re typing while patients talk, missing details, burning out, and in some cases retiring early just to escape the administrative burden.In this episode of Health Reimagined, host Jon Myer (Myer Media) sits down with Laurent from Nabla to explore how AI-powered ambient documentation is transforming the patient-physician relationship — and why reliability, privacy, and deep EHR integration are what separate clinical-grade AI from tools still finding their way.🔗 Learn more at nabla.com🩺 Nabla listens to the clinical encounter and generates structured notes automatically — no recording, no storage, just real-time transcription that flows directly into Epic, Oracle Cerner, Athena, and other EHRs within two weeks of implementation🔒 Nabla never records — it transcribes in real time and stores nothing — making it the only AI assistant company with this privacy-first approach, resulting in 99.9% patient consent rates when asked😴 Pajama time is real and it is costing healthcare its best clinicians — four physicians at one Nabla client delayed retirement specifically because their administrative burden had been lifted enough to rediscover why they went into medicine🧠 World models and the MAI Labs partnership point to the next frontier — AI that builds a mental model of the patient’s condition and reasons about how it will evolve, the same way a clinician actually thinks⏱️ Timeline0:00 — Introduction — What it actually 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 become and what separates the ready from the rest1:26 — Three years 200 health systems and the messy reality of real-world clinical 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 times3:36 — Why if the tool goes down clinicians revert and trust is broken permanently3:56 — AI as a side memory — the phone battery analogy4:59 — The goal is simple — the clinician should be with the patient not the screen5:34 — A personal story — watching your doctor type instead of listen5:59 — Pajama time — two hours of documentation after dinner every night6:30 — Four clinicians who delayed retirement because Nabla reduced their burden7:10 — How past technology failures made clinical leaders more pragmatic about AI today7:52 — Implementation in two weeks with Epic Oracle Cerner Athena and more8:42 — Privacy consent and why 99.9% of patients say yes when asked10:39 — 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 specialty