caa a22 4500 475748948 CHVBK 20180406123521.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1023/A:1005512729184 doi (NATIONALLICENCE)springer-10.1023/A:1005512729184 A Proposed Scheduling Model To Improve Use of Computed Tomography Facilities [Elektronische Daten] [William Reinus, Amit Enyan, Patrice Flanagan, Britton Pim, D. Sallee, James Segrist] A nonpreemptive queuing system based upon operations management theory is used to evaluate expected steady state wait periods for traditional and distributed CT scheduling models. Both models are constructed using two classes of patient service—emergent and nonemergent. The former model uses only one point of service per scanner while the latter employs multiple points of service in order to accomplish all of the functions necessary to complete a CT scan. Sample data are drawn from a tertiary care hospital-based system using a traditional service model. Comparison of a traditional and distributed service system, each with emergent and nonemergent service classes, shows that breaking as many activities as possible out of the scanner should provide substantial improvements in cost efficiency and service for patients having CT scans. Nonemergent patients may experience as much as an 89% reduction in steady-state wait times while emergent patients may experience as much as a 59% reduction in wait times. The cost efficiencies recognized either through increased scanner utilization or reduced scanner needs, even with only modest improvements, should more than offset any additional personnel needed to implement a distributed model. Proper implementation of a distributed scheduling model for CT scanning can provide substantial cost efficiencies and improvements in service for both nonemergent and emergent CT scans. Plenum Publishing Corporation, 2000 Reinus William Mallinckrodt Institute of Radiology, Washington University School of Medicine, 63110, St. Louis, Missouri aut Enyan Amit Olin School of Business, Washington University, 63130, St. Louis, Missouri aut Flanagan Patrice Olin School of Business, Washington University, 63130, St. Louis, Missouri aut Pim Britton Olin School of Business, Washington University, 63130, St. Louis, Missouri aut Sallee D. Olin School of Business, Washington University, 63130, St. Louis, Missouri aut Segrist James Olin School of Business, Washington University, 63130, St. Louis, Missouri aut Journal of Medical Systems Kluwer Academic Publishers-Plenum Publishers 24/2(2000-04-01), 61-76 0148-5598 24:2<61 2000 24 10916 https://doi.org/10.1023/A:1005512729184 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1005512729184 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Reinus William Mallinckrodt Institute of Radiology, Washington University School of Medicine, 63110, St. Louis, Missouri aut NATIONALLICENCE 700 1- Enyan Amit Olin School of Business, Washington University, 63130, St. Louis, Missouri aut NATIONALLICENCE 700 1- Flanagan Patrice Olin School of Business, Washington University, 63130, St. Louis, Missouri aut NATIONALLICENCE 700 1- Pim Britton Olin School of Business, Washington University, 63130, St. Louis, Missouri aut NATIONALLICENCE 700 1- Sallee D. Olin School of Business, Washington University, 63130, St. Louis, Missouri aut NATIONALLICENCE 700 1- Segrist James Olin School of Business, Washington University, 63130, St. Louis, Missouri aut NATIONALLICENCE 773 0- Journal of Medical Systems Kluwer Academic Publishers-Plenum Publishers 24/2(2000-04-01), 61-76 0148-5598 24:2<61 2000 24 10916 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer