Episode 16 - How Human-Machine Teamwork is Transforming Healthcare

About this episode

Professor Eren Ahsen discusses how a delegation model using algorithms can improve mammogram screening processes in healthcare.

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.

People in this episode

Guest: Eren Ahsen

Topics covered

• human-machine teamwork
• healthcare
• mammogram
• algorithms
• clinical accuracy

Keywords

• screening costs
• triage
• high-risk patients

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