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临床决策支持系统(CDSS)的性能评估:开发一个商业智能(BI)仪表板。

Performance Evaluation of Clinical Decision Support Systems (CDSS): Developing a Business Intelligence (BI) Dashboard.

作者信息

Teixeira Vania, Mori Analía, Usera Andres, Bacigalupo Juan Carlos, Luna Daniel

机构信息

Department of Biomedical Informatics, Universal Soluciones Tecnológicas, Montevideo, Uruguay.

Department Biomedical Informatics, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.

出版信息

Stud Health Technol Inform. 2019 Aug 21;264:829-833. doi: 10.3233/SHTI190339.

Abstract

This document describes the development of a Business Intelligence (BI) dashboard for tracking the drug-drug interaction (DDI) alerts implemented as Clinical Decision Support Systems (CDSS) in Electronic Health Records (EHR). CDSS are known for their potential to reduce medical error. The use of requirements in the development of BI dashboards is crucial to obtain successful software. In this work, the requirements were analysed using a score methodology, considering the relevance of the indicators and visualization methods. CDSS effectiveness and acceptance have been questioned, so it is fundamental to monitor their behaviour and performance. The dashboard was designed in order to satisfy the needed indicators. Using BI as a tool for monitoring the CDSS performance made it possible to operationalize the EHR content repository, maximizing the understanding in relation to the override and, by inference, to optimize the CDSS system by opening new lines of work.

摘要

本文档描述了一个商业智能(BI)仪表板的开发过程,该仪表板用于跟踪作为电子健康记录(EHR)中的临床决策支持系统(CDSS)实施的药物相互作用(DDI)警报。CDSS因其减少医疗差错的潜力而闻名。在BI仪表板开发中使用需求对于获得成功的软件至关重要。在这项工作中,使用评分方法对需求进行了分析,同时考虑了指标和可视化方法的相关性。CDSS的有效性和可接受性受到了质疑,因此监测其行为和性能至关重要。设计该仪表板是为了满足所需的指标。将BI用作监测CDSS性能的工具,使得EHR内容存储库能够投入运营,最大限度地增进对覆盖情况的理解,并通过推理,通过开辟新的工作思路来优化CDSS系统。

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