Predicting Which Patients Will Not Show Up | Anirudh Perubotla, Floe Health

Patients left in the dark while systems play catch-up. Floe Health on flipping operations from reactive to predictive. Book Ian for your event → iankhan.com | booking@iankhan.com SUMMARY Anirudh Perubotla co-founded Floe Health after seeing how much administrative burden still sits between a patient and their care. He describes automated pre-procedure material with a live human always available to respond, and the shift to a predictive operating model that anticipates no-shows and incomplete intake forms. KEY FINDINGS • A very large manual administrative burden across patient access • Patients left in the dark while systems catch up behind them • Sending a one-page explainer on a procedure before it happens • Call or text back to a number where someone always responds • Empowering physician practices rather than replacing them • Language barriers as a solvable access problem • Predicting when a patient will not show up before it happens • Flipping from traditional operations to predictive AI operations NOTABLE QUOTES "If we flip the operating model to be predictive AI operated rather than traditional operations, you change everything." — Anirudh Perubotla GUEST Anirudh Perubotla, Co-Founder, Floe Health FULL TRANSCRIPT iankhan.com/futurist/anirudh-perubotla-floe-health-predictive-access 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