{"title":"Bayesian Belief Network Model of the Radical Prostatectomy Pathway","authors":"W. Michalowski, S. Wilk, A. Thijssen, Mingmei Li","doi":"10.1109/HICSS.2006.72","DOIUrl":null,"url":null,"abstract":"A clinical pathway represents sequencing and timing of interventions by clinicians, nurses and other healthcare professionals for a particular clinical presentation. It is designed to minimize delays and resource utilizations and to maximize the quality of tertiary care. A pathway is used to monitor and control patient’s progress that is measured according to standard process and clinical outcomes. We conducted a retrospective chart study and used the Bayesian belief network (BBN) to model a pathway for radical prostatectomy that was developed at The Ottawa Hospital — Civic Campus, and to predict the patient’s length of stay (LOS) given the deviations from pre-determined course of action.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"519 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.2006.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A clinical pathway represents sequencing and timing of interventions by clinicians, nurses and other healthcare professionals for a particular clinical presentation. It is designed to minimize delays and resource utilizations and to maximize the quality of tertiary care. A pathway is used to monitor and control patient’s progress that is measured according to standard process and clinical outcomes. We conducted a retrospective chart study and used the Bayesian belief network (BBN) to model a pathway for radical prostatectomy that was developed at The Ottawa Hospital — Civic Campus, and to predict the patient’s length of stay (LOS) given the deviations from pre-determined course of action.