TY - GEN
T1 - Analysis of patient flow in radiation oncology department of central baptist hospital using discrete event simulations
AU - Wang, Junwen
AU - Li, Jingshan
AU - Campbell, Anne T.
AU - Prather, Kim
AU - Johnson, Barbara
AU - Ross, Kay
N1 - 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].
PY - 2012
Y1 - 2012
N2 - In this paper, we present a discrete event simulation study of patient flow in Radiation Oncology Department at Central Baptist Hospital, Lexington, KY, to improve patient satisfaction. Using the computer simulation model, we analyze the patient's length of stay and waiting times. Sensitivity analysis is introduced to identify the most critical operations, whose improvement can lead to the largest reduction of length of stay. In addition, what-if analysis is carried out to evaluate alternative improvement strategies and provide insights for operation management. It has been shown that collaborating with other departments to reduce the waiting time for surgeon or doctor from other departments in Cyberknife and Simulation/Treatment Center is the key to improve patient outcome.
AB - In this paper, we present a discrete event simulation study of patient flow in Radiation Oncology Department at Central Baptist Hospital, Lexington, KY, to improve patient satisfaction. Using the computer simulation model, we analyze the patient's length of stay and waiting times. Sensitivity analysis is introduced to identify the most critical operations, whose improvement can lead to the largest reduction of length of stay. In addition, what-if analysis is carried out to evaluate alternative improvement strategies and provide insights for operation management. It has been shown that collaborating with other departments to reduce the waiting time for surgeon or doctor from other departments in Cyberknife and Simulation/Treatment Center is the key to improve patient outcome.
KW - Discrete event simulation
KW - Oncology department
KW - Patient flow
KW - What-if analysis
UR - https://www.scopus.com/pages/publications/84900297427
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84900297427&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - 62nd IIE Annual Conference and Expo 2012
SP - 1479
EP - 1488
BT - 62nd IIE Annual Conference and Expo 2012
PB - Institute of Industrial Engineers
T2 - 62nd IIE Annual Conference and Expo 2012
Y2 - 19 May 2012 through 23 May 2012
ER -