ICU admission control: An empirical study of capacity allocation and its implication for patient outcomes SH Kim, CW Chan, M Olivares, G Escobar Management Science 61 (1), 19-38, 2015 | 295 | 2015 |
Are call center and hospital arrivals well modeled by nonhomogeneous Poisson processes? SH Kim, W Whitt Manufacturing & Service Operations Management 16 (3), 464-480, 2014 | 241 | 2014 |
Choosing arrival process models for service systems: Tests of a nonhomogeneous Poisson process SH Kim, W Whitt Naval Research Logistics (NRL) 61 (1), 66-90, 2014 | 79 | 2014 |
Eliciting human judgment for prediction algorithms R Ibrahim, SH Kim, J Tong Management Science 67 (4), 2314-2325, 2021 | 62 | 2021 |
Statistical analysis with little's law SH Kim, W Whitt Operations Research 61 (4), 1030-1045, 2013 | 55 | 2013 |
Should hospitals keep their patients longer? The role of inpatient care in reducing postdischarge mortality AP Bartel, CW Chan, SH Kim Management Science 66 (6), 2326-2346, 2020 | 52 | 2020 |
Should hospitals keep their patients longer? The role of inpatient care in reducing post-discharge mortality AP Bartel, CW Chan, SHH Kim National Bureau of Economic Research, 2014 | 52* | 2014 |
Association among ICU congestion, ICU admission decision, and patient outcomes SH Kim, CW Chan, M Olivares, GJ Escobar Critical care medicine 44 (10), 1814-1821, 2016 | 47 | 2016 |
Poisson and non-Poisson properties in appointment-generated arrival processes: The case of an endocrinology clinic SH Kim, P Vel, W Whitt, WC Cha Operations Research Letters 43 (3), 247-253, 2015 | 45 | 2015 |
Admission control biases in hospital unit capacity management: How occupancy information hurdles and decision noise impact utilization SH Kim, J Tong, C Peden Management Science 66 (11), 5151-5170, 2020 | 43 | 2020 |
A data-driven model of an appointment-generated arrival process at an outpatient clinic SH Kim, W Whitt, WC Cha INFORMS Journal on Computing 30 (1), 181-199, 2018 | 43 | 2018 |
The power of alternative Kolmogorov-Smirnov tests based on transformations of the data SH Kim, W Whitt ACM Transactions on Modeling and Computer Simulation (TOMACS) 25 (4), 1-22, 2015 | 32 | 2015 |
Maximizing intervention effectiveness V Gupta, BR Han, SH Kim, H Paek Management Science 66 (12), 5576-5598, 2020 | 31 | 2020 |
Should hospitals keep their patients longer? the role of inpatient and outpatient care in reducing readmissions AP Bartel, CW Chan, H Kim National Bureau of Economic Research, 2014 | 27 | 2014 |
Estimating waiting times with the time-varying Little's law SH Kim, W Whitt Probability in the Engineering and Informational Sciences 27 (4), 471-506, 2013 | 26 | 2013 |
Learning from Leaders or Followers in Temporary Teams: The Varying Effects of Partner Exposure by Team Member Role SH Kim, H Song, M Valentine Available at SSRN 3176306, 2021 | 23* | 2021 |
Is expert input valuable? The case of predicting surgery duration R Ibrahim, SH Kim Seoul Journal of Business, Forthcoming, 2019 | 10 | 2019 |
Does Algorithm Aversion Exist in the Field? An Empirical Analysis of Algorithm Use Determinants in Diabetes Self-Management W Lin, SH Kim, J Tong An Empirical Analysis of Algorithm Use Determinants in Diabetes Self …, 2021 | 9 | 2021 |
Refining workload measure in hospital units: From census to acuity-adjusted census in intensive care units SH Kim, E Pinker, J Rimar, E Bradley USC Marshall School of Business Working Paper, 2017 | 9 | 2017 |
Staffing temporary teams: Understanding the effects of team familiarity and partner variety SH Kim, H Song, M Valentine Available at SSRN, 2020 | 8 | 2020 |