Song-Hee Kim

Hello and welcome to my webpage

I am the CS Wind Associate Professor in the Division of Operations Management at SNU Business School. My research focuses on data-driven and evidence-based decision making in healthcare systems. 

I currently serve as an associate editor for Management Science, Operations Research, Manufacturing & Services Operations Management, Service Science, and Health Care Management Science, and as a senior editor for Production and Operations Management.

Working Papers

1. To Each Their Own (Shifts): Incorporating Heterogeneous Worker Preferences into Shift Work Schedules with Harriet Jeon, Hummy Song, Kyeongsug Kim, Sangwoon Cho, and Jeong Hee Hong    [SSRN]

2. Occupancy Prediction with Patient Data: Evaluating Time-Series, Patient-Level Aggregation, and Deep Set Models with William Overman, Jean Pauphilet, and Won Chul Cha    [SSRN]

3. When Should Doctors and Patients Use Shared Decision-Making Under Bounded Rationality? with Feray Tuncalp, Rouba Ibrahim, and Jordan Tong   [SSRN] 

4. What Drives Algorithm Use? An Empirical Analysis of Algorithm Use in Type 1 Diabetes Self-Management with Wilson Lin and Jordan Tong   [SSRN] 

Published Works

1. Impact of Capacity Strain on the Health Status of Patients Discharged from an ICU with Edieal Pinker and Joan Rimar, Production and Operations Management, to appear.  [Link]

2. Admission Control Bias and Path-Dependent Feedback Under Diagnosis Uncertainty with Jordan Tong, Manufacturing & Service Operations Management, 2024   [Link] [Data] 

3. Identifying the Bottleneck Unit: Impact of Congestion Spillover in Hospital Inpatient Unit Network with Fanyin Zheng and Joan Brown, Management Science, 2024  [Link]

   • Finalist: 2022 INFORMS Pierskalla Award         

4. Learning in Temporary Teams: The Varying Effects of Partner Exposure by Team Member Role with Hummy Song and Melissa Valentine, Organization Science, 2023   [Link]

5. How Digital Transformation Can Improve Hospitals' Operational Decisions with Hummy Song, Harvard Business Review Digital Articles, 2022 [Link]

6. Eliciting Human Judgment for Prediction Algorithms with Rouba Ibrahim and Jordan Tong, Management Science, 2021   [Link]

7. Maximizing Intervention Effectiveness with Vishal Gupta, Brian Rongqing Han, and Hyung Paek, Management Science, 2020   [Link]

   • Finalist: 2018 POMS College of Healthcare and Operations Management Best Paper Competition

   • Finalist: 2018 INFORMS Pierskalla Award         

8. Admission Control Biases in Hospital Unit Capacity Management: How Occupancy Information Hurdles and Decision Noise Impact Utilization with Jordan Tong and Carol Peden, Management Science, 2020   [Link]

9. Should Hospitals Keep Their Patients Longer? The Role of Inpatient Care in Reducing Post-Discharge Mortality with Ann Bartel and Carri W. Chan, Management Science, 2020   [Link]

10. Is Expert Input Valuable? The Case of Predicting Surgery Duration with Rouba Ibrahim, Seoul Journal of Business, 2019   [Link]

11. A Data-Driven Model of an Appointment-Generated Arrival Process at an Outpatient Clinic with Ward Whitt and Won Chul Cha, INFORMS Journal on Computing, 2018   [Link] [Appendix]

12. Association Among ICU Congestion, ICU Admission Decision, and Patient Outcomes with Carri W. Chan, Marcelo Olivares and Gabriel Escobar, Critical Care Medicine, 2016   [Link]

    • Feature article. Editorial: Using ICU Congestion as a Natural Experiment [Link]

13. The Power of Alternative Kolmogorov-Smirnov Tests Based on Transformations of Data with Ward Whitt, ACM Transactions on Modeling and Computer Simulation (TOMACS), special issue honoring Professor Donald L. Iglehart, 2015   [Link] [Appendix]

14. Poisson and Non-Poisson Properties in Appointment-Generated Arrival Processes: the Case of an Endocrinology Clinic with Ward Whitt, Ponni Vel and Won Chul Cha, Operations Research Letters, 2015   [Link]

15. ICU Admission Control: An Empirical Study of Capacity Allocation and its Implication on Patient Outcomes with Carri W. Chan, Marcelo Olivares and Gabriel Escobar, Management Science, 2015   [Link]

    • First Prize: 2013 MSOM Student Paper Competition

    • Finalist: 2013 INFORMS Health Applications Society Student Paper Competition

    • Finalist: 2013 INFORMS Pierskalla Award

    • Winner: 2018 Best OM Paper in Management Science Award

16. Are Call Center and Hospital Arrivals Well Modeled by Nonhomogeneous Poisson Processes? with Ward Whitt, Manufacturing & Service Operations Management, 2014   [Link] [Online Supplement] [Appendix]

    • Finalist: 2016 M&SOM Best Paper Award

    • Finalist: 2017 M&SOM Best Paper Award

17. Choosing Arrival Process Models for Service Systems: Tests of a Nonhomogeneous Poisson Process with Ward Whitt, Naval Research Logistics, 2014    [Link] [Appendix]

18. Estimating Waiting Times with the Time-Varying Little’s Law with Ward Whitt, Probability in the Engineering and Informational Sciences, 2013 [Link] [Appendix]

19. Statistical Analysis with Little’s Law with Ward Whitt, Operations Research, 2013     [Link] [e-Companion] [Technical Report]

Education

• Ph.D. in Operations Research, Columbia University, New York, NY, 2014.

  • Dissertation: Data-Driven Decisions in Service Systems

• M.S. in Operations Research, Columbia University, New York, NY, 2009.

• B.S., magna cum laude, in Operations Research and Industrial Engineering, Cornell University, Ithaca, NY, 2008.

• Korean Minjok Leadership Academy, Republic of Korea, 2005.