A Clinical Recommendation System to Maternity Care

Eliana Pereira, Filipe Portela, A. Abelha
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引用次数: 3

Abstract

Nowadays in healthcare, the Clinical Decision Support Systems are used in order to help health professionals to take an evidence-based decision. An example is the Clinical Recommendation Systems. In this sense, a pre-triage system was developed and implemented in Centro Hospitalar do Porto in order to group the patients on two levels (urgent or outpatient). However, although this system is calibrated and specific to the urgency of obstetrics and gynaecology, it does not meet all clinical requirements by the general department of the Portuguese HealthCare (Direção Geral de Saúde). The main requirement is the need of having priority triage system characterized by five levels. Thus some studies have been conducted with the aim of presenting a methodology able to evolve the pre-triage system on a Clinical Recommendation System with five levels. After some tests (using data mining and simulation techniques), it has been validated the possibility of transformation the pre-triage system in a Clinical Recommendation System in the obstetric context. At the end the main indicators achieved with this system are presented in the Business Intelligence Platform already deployed. This paper presents an overview of the Clinical Recommendation System for obstetric triage, the model developed and the main results achieved.
产科护理的临床推荐系统
如今在医疗保健,临床决策支持系统是用来帮助卫生专业人员采取循证决策。临床推荐系统就是一个例子。从这个意义上说,波尔图中心医院开发并实施了一个预分类系统,以便将患者分为两个级别(紧急或门诊)。然而,尽管该系统是针对妇产科的紧急情况进行校准和专门的,但它并不能满足葡萄牙卫生保健总局(Saúde总局)的所有临床要求。主要的要求是需要有一个以五级为特征的优先分诊系统。因此,已经进行了一些研究,目的是提出一种能够在具有五个级别的临床推荐系统上发展预分诊系统的方法。经过一些测试(使用数据挖掘和模拟技术),已经验证了在产科背景下将预分诊系统转换为临床推荐系统的可能性。最后在已经部署的商业智能平台上给出了系统实现的主要指标。本文介绍了产科分诊的临床推荐系统的概述,开发的模型和取得的主要成果。
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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