Burnout Can Be Predicted From Heart Rate Data | Ayman Mukerji, Jivika

Chronic stress shows up in heart rate variability one to two months before burnout does. Book Ian for your event → iankhan.com | booking@iankhan.com SUMMARY Ayman Mukerji founded Jivika, which uses sensor data to predict burnout in hospital workers rather than measure it after the fact. He explains the physiological signal, the nudge model built on top of it, and why the intervention has to be small enough for someone mid-shift to accept. KEY FINDINGS • Burnout predicted from heart rate variability data • Chronic stress typically precedes burnout by one to two months • Self-reported stress tagging, for example 70% stressed with work as the cause • Nudges delivered in the moment rather than reports delivered later • Productivity techniques such as 25 minutes of work and 5 minutes of rest • Why interventions must fit inside a clinical shift to be used • Sensor data as an early warning system for workforce retention NOTABLE QUOTES "Burnout happens after one month or two months of chronic stress." — Ayman Mukerji GUEST Ayman Mukerji, Founder, Jivika FULL TRANSCRIPT iankhan.com/futurist/ayman-mukerji-jivika-burnout-prediction Recorded at HLTH 2025 for The Futurist. ──────────────────── ABOUT IAN KHAN — HEALTHCARE AI KEYNOTE SPEAKER Most AI keynotes end with a better understanding. Mine end with a measured readiness score and a ninety-day plan. Your leadership team is assessed before the event, the room sees its own collective result live, and every attendee leaves with a ninety-da