caa a22 4500 467935335 CHVBK 20180406152955.0 cr unu---uuuuu 170328e20061101xx s 000 0 eng 10.1007/s10729-006-9998-8 doi (NATIONALLICENCE)springer-10.1007/s10729-006-9998-8 Using a Bayesian belief network model to categorize length of stay for radical prostatectomy patients [Elektronische Daten] Using a Bayesian belief network to categorize LOS [Wojtek Michalowski, Szymon Wilk, Anthony Thijssen, Mingmei Li] A clinical pathway implements best medical practices and represents sequencing and timing of interventions by clinicians for a particular clinical presentation. We used a Bayesian belief network (BBN) to model a clinical pathway for radical prostatectomy and to categorize patient's length of stay (LOS) as being met or delayed given the patient's outcomes and activities. A BBN model constructed from historical data collected as part of a retrospective chart study represents probabilistic dependencies between specific events from the pathway and identifies events directly affecting LOS. Preliminary evaluation of a BBN model on an independent test sample of patients' data shows that model reliably categorizes LOS for the second and third day after the surgery (with overall accuracy of 82 and 84%, respectively). Springer Science + Business Media, LLC, 2006 Clinical pathway nationallicence Length of stay nationallicence Radical prostatectomy nationallicence Bayesian belief network nationallicence Clinical decision support nationallicence Michalowski Wojtek School of Management, University of Ottawa, 136 Jean-Jacques Lussier St., P.O. Box 450, Stn. A, K1N 6N5, Ottawa, Canada aut Wilk Szymon Institute of Computing Science, Poznan University of Technology, Poznan, Poland aut Thijssen Anthony Division of Urology, The Ottawa Hospital—Civic Campus, Ottawa, Canada aut Li Mingmei School of Management, University of Ottawa, 136 Jean-Jacques Lussier St., P.O. Box 450, Stn. A, K1N 6N5, Ottawa, Canada aut Health Care Management Science Kluwer Academic Publishers 9/4(2006-11-01), 341-348 1386-9620 9:4<341 2006 9 10729 https://doi.org/10.1007/s10729-006-9998-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10729-006-9998-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Michalowski Wojtek School of Management, University of Ottawa, 136 Jean-Jacques Lussier St., P.O. Box 450, Stn. A, K1N 6N5, Ottawa, Canada aut NATIONALLICENCE 700 1- Wilk Szymon Institute of Computing Science, Poznan University of Technology, Poznan, Poland aut NATIONALLICENCE 700 1- Thijssen Anthony Division of Urology, The Ottawa Hospital—Civic Campus, Ottawa, Canada aut NATIONALLICENCE 700 1- Li Mingmei School of Management, University of Ottawa, 136 Jean-Jacques Lussier St., P.O. Box 450, Stn. A, K1N 6N5, Ottawa, Canada aut NATIONALLICENCE 773 0- Health Care Management Science Kluwer Academic Publishers 9/4(2006-11-01), 341-348 1386-9620 9:4<341 2006 9 10729 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer