Complex Decisions, Real Numbers: Medical Decision-Making

Project Summary

Would you like to know what influences patients’ medical decisions when outcomes are uncertain? Using a big data approach, we will explore a large number of physician-patient conversations and disentangle the complex decision-making process.  Students will be introduced not only to data science but also to behavioral research and aspects of communication in healthcare. This work will inform physicians on how to reduce overutilization of unnecessary interventions and ensure the well-being of patients.

Themes and Categories
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Disciplines Involved: Economics, PreHealth/PreMed, Biology, Biostatistics, all quantitative STEM

Project Leads: Peter Ubel, Marc Ryser, Ilona Fridman

Project Manager: TBD

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