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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hosseini, Narges Taaffe, Kevin |
| Copyright Year | 2014 |
| Description | Author affiliation: Clemson University, 130-A Freeman Hall, SC, 29634, USA (Taaffe, Kevin) || Mayo Clinic, 200 2th St SW, Rochester MN 55901, USA (Hosseini, Narges) |
| Abstract | There are two main types of surgeries within an operating room (OR) suite, namely elective (or scheduled) and non-elective (or non-scheduled) surgeries. Non-elective surgeries count for a considerable proportion of surgery demand and often have a priority for begin served in a timely manner. Accommodating this type of surgery can be a challenging task on the day of surgery. This is mainly a result of the uncertain demand for non-elective surgeries, which discourages hospitals from reserving sufficient capacity for these surgeries. Using simulation, we evaluate an optimal policy for accommodating elective and non-elective surgeries that minimizes waiting time of patients, overtime, and number of patients turned away. We carry out the analysis on a stylized, two-room study where one room is dedicated to non-elective cases and the other room contains elective cases but can accept a non-elective case if necessary. The optimal policy is originally found by using a Markov decision process (MDP). However, since Markov modeling has an exponential arrival rate and steady state assumptions, which may not always be true in a surgical environment, the evaluation through simulation allows these assumptions to be relaxed. |
| Starting Page | 1377 |
| Ending Page | 1386 |
| File Size | 447785 |
| Page Count | 10 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019992 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Surgery Hospitals Steady-state Servers Markov processes Optimization |
| Content Type | Text |
| Resource Type | Article |
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