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. Redesigning Shift Work to Incorporate Heterogeneous Worker Preferences 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. Impact of Capacity Strain on the Health Status of Patients Discharged from an ICU with Edieal Pinker and Joan Rimar   

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

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

   • Finalist: 2022 INFORMS Pierskalla Award         

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

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

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

6. 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         

7. 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]

8. 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]

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

10. 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]

11. 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]

12. 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]

13. 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]

14. 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

15. 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

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

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

18. 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.