Abstract
This paper is devoted to the modeling and analysis of mammography testing process at a breast imaging center of the University of Wisconsin Medical Foundation (UWMF). A Markov chain-based model is developed to evaluate the patient length of stay and staff efficiency. It is shown that the model can provide an accurate estimation of system performance. To investigate the impacts of increasing patient volume, what-if analysis is carried out and different system configurations are compared. Finally, recommendations for accommodating more mammography patients are proposed to the leadership. © 2013 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 |
| Pages | 611-616 |
| 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
- length of stay
- Mammography
- Markov chain
- patient flow
- staff utilization
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