Article ID: | iaor20171244 |
Volume: | 63 |
Issue: | 4 |
Start Page Number: | 1042 |
End Page Number: | 1062 |
Publication Date: | Mar 2017 |
Journal: | Management Science |
Authors: | Tucker Anita L, Berry Jaeker Jillian A |
Keywords: | health services, combinatorial optimization, work, performance |
Service organizations face a trade‐off between high utilization and responsiveness. High utilization can improve financial performance, but causes congestion, which increases throughput time. Employees may manage this trade‐off by reducing processing times during periods of high workload, resulting in an inverted U‐shaped relationship between utilization and throughput time. Using two years of inpatient data from 203 California hospitals, we find evidence that patient length of stay (LOS) increases as occupancy increases, until a tipping point, after which patients are discharged early to alleviate congestion. More interestingly, we find a