Episode 18 - Smarter Scheduling for Chronic Care
From Research Reverb by Gies Business
April 21, 2026 · 15 min
About this episode
This episode discusses a new framework combining machine learning with scheduling optimization to improve access to healthcare for the sickest patients.
A new framework from Gies Business professor Ujjal Mukherjee combines machine learning with scheduling optimization to tackle one of healthcare's toughest problems: the sickest patients are often the least likely to get time with a doctor.
Topics covered
- healthcare
- machine learning
- scheduling optimization
- chronic care
Keywords
- chronic illness
- patient care
- healthcare access
More episodes of Research Reverb
- Episode 17 - The Surprising Link Between FDA Action and Drug Supply · April 7, 2026 · 19 min
- Episode 16 - The Pollution Shell Game: Why Divestment Doesn’t Always Leave the Planet Greener · March 24, 2026 · 13 min
- Episode 16 - How Human-Machine Teamwork is Transforming Healthcare · March 10, 2026 · 10 min
- Episode 15 - How Gig Work Fuels Entrepreneurship · February 24, 2026 · 17 min
- Episode 14 - Why Erasing Small Medical Debts Didn't Improve Financial Health · February 10, 2026 · 12 min
- Episode 13 - From the Pitch to the Boardroom: Lessons in Global Leadership · January 27, 2026 · 32 min
Explore listener stats, chart rankings, contacts and more on the Research Reverb podcast page.