560 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104
Hummy Song is an Assistant Professor of Operations, Information and Decisions at the Wharton School at the University of Pennsylvania. Her research is focused on identifying ways to improve the performance of service systems, with a particular emphasis on health care delivery systems. Her work has examined several factors related to patient flow and capacity management in health care delivery settings, including queue configurations, off-service placement, performance feedback, provider turnover, and team staffing. Her research primarily utilizes large datasets derived from electronic health record systems, administrative databases, and surveys of the health care workforce. Professor Song has worked with hospitals and health care delivery organizations both in the U.S. and in developing countries.
Professor Song conducted her undergraduate, master’s, and PhD studies at Harvard University.
Rachel Kohn, Michael Harhay, Brian Bayes, Hummy Song, Scott Halpern, Meeta Prasad Kerlin, S Ryan Greysen (2020), Influence of bedspacing on outcomes of hospitalised medicine service patients: a retrospective cohort study, BMJ Quality & Safety. 10.1136/bmjqs-2019-010675
Mor Armony, Guillaume Roels, Hummy Song (2019), Capacity Choice Game in a Multi-Server Queue: Existence of a Nash Equilibrium, Naval Research Logistics. 10.1002/nav.21878
Song-Hee Kim, Hummy Song, Melissa Valentine (Working), Staffing Teams in the Emergency Department: Understanding the Effects of Team Familiarity and Partner Variety.
Rachel Kohn, Michael Harhay, Gary E Weissman, George L Anesi, Brian Bayes, Hummy Song, Scott Halpern, S Ryan Greysen, Meeta Prasad Kerlin (2019), The Association of Geographic Dispersion With Outcomes Among Hospitalized Pulmonary Service Patients, Annals of the American Thoracic Society. 10.1513/AnnalsATS.201906-471RL
Hummy Song, Anita L. Tucker, Ryan Graue, Sarah Moravick, Julius J. Yang (2019), Capacity Pooling in Hospitals: The Hidden Consequences of Off-service Placement, Management Science. 10.1287/mnsc.2019.3395
Hummy Song and Senthil Veeraraghavan, “Quality of Care: An Operations Perspective of Health Care Quality”. In Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations, edited by Tinglong Dai and Sridhar Tayur (Eds.), (Hoboken, NJ: John Wiley & Sons, 2018)
Hummy Song, Anita L. Tucker, Karen L. Murrell, David R. Vinson (2018), Closing the Productivity Gap: Improving Worker Productivity through Public Relative Performance Feedback and Validation of Best Practices, Management Science, 64 (6), pp. 2628-2649.
Description: Finalist, 2019 Best OM Paper in Management Science Award. Finalist, 2015 MSOM Student Paper Competition. Honorable Mention, 2015 INFORMS Behavioral Operations Management Section Best Working Paper Award. Previously circulated as "Public Relative Performance Feedback in Complex Service Systems: Improving Productivity through the Adoption of Best Practices".
Hummy Song, Elena Andreyeva, Guy David (Working), Time is the Wisest Counselor of All: The Value of Provider-Patient Engagement Length in Home Health Care.
Hummy Song and Robert S. Huckman (Working), Cohort Turnover and Operational Performance: The July Phenomenon in Teaching Hospitals.
Description: Finalist, 2015 POMS College of Healthcare Operations Management Best Paper Competition.
OIDD 101 explores a variety of common quantitative modeling problems that arise frequently in business settings, and discusses how they can be formally modeled and solved with a combination of business insight and computer-based tools. The key topics covered include capacity management, service operations, inventory control, structured decision making, constrained optimization and simulation. This course teaches how to model complex business situations and how to master tools to improve business performance. The goal is to provide a set of foundational skills useful for future coursework atWharton as well as providing an overview of problems and techniques that characterize disciplines that comprise Operations and Information Management.
Matching supply with demand is an enormous challenge for firms: excess supply is too costly, inadequate supply irritates customers. In the course, we will explore how firms can better organize their operations so that they more effectively align their supply with the demand for their products and services. Throughout the course, we illustrate mathematical analysis applied to real operational challenges--we seek rigor and relevance. Our aim is to provide both tactical knowledge and high-level insights needed by general managers and management consultants. We will demonstrate that companies can use (and have used) the principles from this course to significantly enhance their competitiveness.
Operations strategy is about organizing people and resources to gain a competitive advantage in the delivery of products (both goods and services) to customers. This course approaches this challenge primarily from two perspectives: 1) how should a firm design their products so that they can be profitably offered; 2) how can a firm best organize and acquire resources to deliver its portfolio of products to customers. To be able to make intelligent decisions regarding these high-level choices, this course also provides a foundation of analytical methods. These methods give students a conceptual framework for understanding the linkage between how a firm manages its supply and how well that supply matches the firm's resulting demand. Specific course topics include designing service systems, managing inventory and product variety, capacity planning, approaches to sourcing and supplier management, constructing global supply chains, managing sustainability initiatives, and revenue management. This course emphasizes both quantitative tools and qualitative frameworks. Neither is more important than the other.
Wharton's Hummy Song examines the common hospital practice of capacity pooling and whether it’s the best way to manage the mismatch between the number of patients and available beds.Knowledge @ Wharton - 2019/08/23