This episode of the Chief Healthcare Officer Podcast features Mohan Giridharadas, founder and CEO of LeanTaaS and author of Better Healthcare Through Math. Host Dr. Fatih Mehmet Gül discusses with Mohan how applying sophisticated mathematical algorithms and "lean" principles can solve the operational "chaos" often found in hospitals.

The conversation explores the massive gap between healthcare’s clinical brilliance (e.g., robotic surgery) and its operational antiquity (e.g., scheduling via spreadsheets and faxes). Mohan explains how "level loading" and predictive analytics can reduce patient wait times, increase capacity, and alleviate staff burnout by automating mundane tasks.

Key Takeaways

• The Airline Comparison: Just as airlines moved from manual gate assignments to sophisticated network optimization to handle thousands of flights, hospitals must adopt mathematical modeling to manage patient flow.
• Predictive Orchestration: Instead of reacting to a "bed crunch" when it happens, hospitals can use data to predict discharges and incoming volume hours in advance, fixing bottlenecks before they affect patients.
• Combating Burnout: By using AI to automate mundane tasks—like copying numbers or making routine screening calls—nurses are freed to work at the "top of their license," focusing on actual patient care.
• The "Level Loading" Solution: Most "rush hour" chaos in clinics is caused by scheduling peaks that exceed capacity. Spreading the burden mathematically (level loading) reduces chaos without requiring more staff or chairs.

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Visit Dr Fatih's Website - https://www.fatihmehmetgul.com/

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