Dan Adelman

Papers

Total Citations

H-Index

About

Dan Adelman is a pioneering researcher in healthcare operations and surgical team dynamics, with a focus on improving patient outcomes through data-driven analysis of clinical workflows. His most cited work, "Operative Team Familiarity and Specialization at an Academic Medical Center" (2022), introduces novel quantitative frameworks for measuring operating room team familiarity and specialty experience—concepts that bridge operations research and healthcare delivery. This paper, with 4 citations, lays foundational groundwork for understanding how team composition affects surgical efficiency and safety. Adelman's broader contributions span operations management, where he applies mathematical modeling to complex healthcare systems, including hospital capacity planning and surgical scheduling. His research uniquely combines rigorous analytical methods with practical clinical insights, earning recognition for advancing evidence-based management in academic medical centers. A professor at the University of Chicago Booth School of Business, Adelman's work has been published in top-tier journals such as *Operations Research* and *Manufacturing & Service Operations Management*, and he has received multiple National Science Foundation grants. His research agenda continues to shape how hospitals optimize team performance and resource allocation, making him a leading voice in healthcare operations.