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PODCAST: How Human-Machine Teamwork is Transforming Healthcare
Mar 10, 2026, 12:56
by
John Moist
Eren Ahsen's research finds that a "delegation" model (where algorithms triage low-risk cases and flag the tricky ones for human experts) could cut mammogram screening costs by up to 30% without sacrificing clinical accuracy.
Every year, 39 million American women get a mammogram, and about 10% of them receive an unsettling call that could trigger weeks of anxiety. Gies Business professor Eren Ahsen thinks new technologies can fix that. His research finds that a "delegation" model (where algorithms triage low-risk cases and flag the tricky ones for human experts) could cut screening costs by up to 30% without sacrificing clinical accuracy - and could mean high-risk patients getting answers in hours instead of weeks.
