Bayesian Belief Network Model of the Radical Prostatectomy Pathway

W. Michalowski, S. Wilk, A. Thijssen, Mingmei Li
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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.
根治性前列腺切除术途径的贝叶斯信念网络模型
临床路径表示临床医生、护士和其他医疗保健专业人员针对特定临床表现进行干预的顺序和时机。它旨在最大限度地减少延误和资源利用,并最大限度地提高三级保健的质量。一个途径是用来监测和控制病人的进展,根据标准的过程和临床结果进行测量。我们进行了一项回顾性图表研究,并使用贝叶斯信念网络(BBN)来模拟渥太华医院Civic校区开发的根治性前列腺切除术的途径,并根据与预定行动方案的偏差预测患者的住院时间(LOS)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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