We analyze the patient flow of three community health clinics from the Seton
group in Austin, Texas, using simulation tools. Our goal is to help the clinics find
solutions to cope with increasing patient demand. Several scenarios for increasing
efficiency are explored using an ARENA-based patient flow model. Multiple bottlenecks are identified and solutions are found to help the clinics minimize overall patient cycle time and to distribute the workload more evenly across the staff. This study demonstrates that healthcare service facilities may benefit from quantitative analysis, especially simulation tools, to improve their efficiency. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/ETD-UT-2011-08-4103 |
| Date | 11 November 2011 |
| Creators | Wang, Lei, master of science in operations research and industrial engineering |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Type | thesis |
| Format | application/pdf |
Page generated in 0.0022 seconds