TY - GEN
T1 - A regression-based approach to identifying factors affecting operational efficiency in surgical rooms
AU - Leu, Jun Der
AU - Lee, Larry Jung Hsing
AU - Huang, Yi Wei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - The operational efficiency of surgical rooms has a significant influence on the overall performance of a hospital. In this study, we used a multiple regression model to identify the influence of factors on the operational efficiency of surgical rooms. We analyzed the patient flow in the surgical room to identify the potential influencing factors in terms of patients, surgical type, medical staff, and medical resource inputs in the surgical process. Then, 21,944 surgical data were collected as a research sample from the healthcare information system of a case hospital with 772 clinical beds. Surgical cost, surgical fee, and surgical overtime are considered performance outputs. The analytical results show that the type of anesthesia and the complexity of surgery are significant factors contributing to the surgical cost. In addition, surgical time, surgical cost, and anesthesia cost are significantly influenced by the type of anesthesia.
AB - The operational efficiency of surgical rooms has a significant influence on the overall performance of a hospital. In this study, we used a multiple regression model to identify the influence of factors on the operational efficiency of surgical rooms. We analyzed the patient flow in the surgical room to identify the potential influencing factors in terms of patients, surgical type, medical staff, and medical resource inputs in the surgical process. Then, 21,944 surgical data were collected as a research sample from the healthcare information system of a case hospital with 772 clinical beds. Surgical cost, surgical fee, and surgical overtime are considered performance outputs. The analytical results show that the type of anesthesia and the complexity of surgery are significant factors contributing to the surgical cost. In addition, surgical time, surgical cost, and anesthesia cost are significantly influenced by the type of anesthesia.
KW - regression
KW - surgical room
UR - http://www.scopus.com/inward/record.url?scp=85009919625&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2016.7797887
DO - 10.1109/IEEM.2016.7797887
M3 - 會議論文篇章
AN - SCOPUS:85009919625
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 311
EP - 315
BT - 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PB - IEEE Computer Society
T2 - 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Y2 - 4 December 2016 through 7 December 2016
ER -