Decision support system for the practical implementation of the Chronic Heart Failure guidelines: The MyHeart approach

C. Bescos, M. Harris, R. Bover, R. Schmidt, J. Pérez-Villacastín
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引用次数: 4

Abstract

Chronic Heart Failure (CHF) is the major cause for hospitalization in adults in western societies, mainly due to decompensation of patients. Active prevention, diagnosis, and personalized treatment contribute to the stabilization of chronic patients and the reduction of events. The approach of the EU FP6 MyHeart project is to collect daily vital body signs on CHF patients in an easy and comfortable way. The data is processed via a decision support system (DSS) and the platform gives instant recommendations to the user. The system also sends the information to the professionals for a better follow-up. The designed DSS is based on Bayesian networks (BN) and combines the accepted standardized clinical guidelines with the most advanced monitoring data in daily routine, in order to provide individualized recommendations to the patient in a concrete situation.
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慢性心力衰竭指南实际实施的决策支持系统:MyHeart方法
慢性心力衰竭(CHF)是西方成年人住院治疗的主要原因,主要是由于患者的代偿失调。积极预防、诊断和个性化治疗有助于稳定慢性患者和减少事件。欧盟FP6 MyHeart项目的方法是以一种简单舒适的方式收集CHF患者的日常生命体征。数据通过决策支持系统(DSS)进行处理,平台向用户提供即时建议。系统还将信息发送给专业人员,以便更好地跟进。设计的决策支持系统以贝叶斯网络(BN)为基础,结合公认的标准化临床指南和最先进的日常监测数据,在具体情况下为患者提供个性化的建议。
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