临床决策支持系统
工作流程
质量保证
范围(计算机科学)
决策支持系统
质量管理
医疗保健
质量(理念)
医学
计算机科学
梅德林
管理制度
数据挖掘
运营管理
病理
数据库
工程类
哲学
经济
认识论
程序设计语言
法学
外部质量评估
经济增长
政治学
作者
Emilio Flores,Laura Martínez-Racaj,Ruth Torreblanca,Álvaro Blasco,Maite López‐Garrigós,Irene de Bustamante,María Salinas
标识
DOI:10.1515/cclm-2023-1239
摘要
Clinical Decision Support Systems (CDSS) have been implemented in almost all healthcare settings. Laboratory medicine (LM), is one of the most important structured health data stores, but efforts are still needed to clarify the use and scope of these tools, especially in the laboratory setting. The aim is to clarify CDSS concept in LM, in the last decade. There is no consensus on the definition of CDSS in LM. A theoretical definition of CDSS in LM should capture the aim of driving significant improvements in LM mission, prevention, diagnosis, monitoring, and disease treatment. We identified the types, workflow and data sources of CDSS. The main applications of CDSS in LM were diagnostic support and clinical management, patient safety, workflow improvements, and cost containment. Laboratory professionals, with their expertise in quality improvement and quality assurance, have a chance to be leaders in CDSS.
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