caa a22 4500 475801067 CHVBK 20180406123737.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1023/A:1009667711423 doi (NATIONALLICENCE)springer-10.1023/A:1009667711423 Transfusion Cost Containment for Abdominal Surgery with Neural Networks [Elektronische Daten] [Steven Walczak, John Scharf] Typing and crossmatching blood is a significant cost for most hospitals, regardless of whether the blood is actually transfused. Many hospitals have implemented a Maximum Surgical Blood Order Schedule, MSBOS, to control over-ordering of blood units for surgery. The research presented in this article examines the use of neural networks for predicting the quantity of blood required by individual patients undergoing abdominal surgery (e.g. splenectomy). A comparison is made between the neural network predictions at a particular hospital versus the current MSBOS methodology for ordering surgical blood, by using the crossmatch to transfusion ratio. Results from the neural network transfusion predictions for the abdominal aortic aneurysm (AAA) surgery imply that neural networks can significantly improve the transfusion efficiency of hospitals. However, further examination of neural network capabilities for predicting the transfusion needs of patients undergoing other types of abdominal surgeries indicates that for operations other than the AAA, neural networks tend to under-predict the transfusion requirements of ten percent of the patients. Even if not used to limit over-ordering of blood for surgical transfusions, neural networks may be used as an intelligent decision support system to evaluate the current efficiency of hospital transfusion practices and to indicate beneficial changes to current MSBOS values. Kluwer Academic Publishers, 2000 neural networks nationallicence abdominal surgery nationallicence AAA nationallicence transfusion nationallicence cost nationallicence MSBOS nationallicence Walczak Steven College of Business and Administration, University of Colorado at Denver, Campus Box 165, PO Box 173364, 80217-3364, Denver, CO, USA aut Scharf John Dept. of Anesthesiology, University of South Florida College of Medicine, MDC 59, 12901 Bruce B. Downs Blvd., 33612, Tampa, FL, USA aut Neural Processing Letters Kluwer Academic Publishers 11/3(2000-06-01), 229-238 1370-4621 11:3<229 2000 11 11063 https://doi.org/10.1023/A:1009667711423 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009667711423 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Walczak Steven College of Business and Administration, University of Colorado at Denver, Campus Box 165, PO Box 173364, 80217-3364, Denver, CO, USA aut NATIONALLICENCE 700 1- Scharf John Dept. of Anesthesiology, University of South Florida College of Medicine, MDC 59, 12901 Bruce B. Downs Blvd., 33612, Tampa, FL, USA aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers 11/3(2000-06-01), 229-238 1370-4621 11:3<229 2000 11 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer