Abstract
The work flow of surgical operations in emergency department can be interrupted due to various disruptions. Reducing such disruptions is of significant importance to ensure successful operations. In this paper, we introduce a continuous time Markov chain model to analyze the disruptions and their impacts. Analytical formulas have been derived to evaluate the probabilities of normal operations and disruptions. A continuous improvement method has been developed to identify the disruption that impedes surgical operation in the strongest manner. Such a disruption is referred to as the bottleneck disruption (BN-d). Reducing the interruption time of the BNd can lead to the largest improvement in normal operation. An application of the method at an emergency department of a large academic medical center is presented to illustrate the effectiveness of the model and the improvement approach. It is discovered that the disruption due to coordination problem is the system bottleneck. © 2013 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 |
| Pages | 990-995 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States Duration: 17 Aug 2013 → 20 Aug 2013 |
Publication series
| Name | IEEE International Conference on Automation Science and Engineering |
|---|---|
| ISSN (Print) | 2161-8070 |
| ISSN (Electronic) | 2161-8089 |
Conference
| Conference | 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 |
|---|---|
| Place | United States |
| City | Madison, WI |
| Period | 17/08/13 → 20/08/13 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This work is supported in part by NSF Grant No. CMMI-1233807.
Research Keywords
- bottleneck
- continuous time Markov chain
- Emergency care
- flow disruptions
- surgery
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