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Characteristics of Outpatient Clinical Decision Support Systems: A Taxonomic Description

机译：门诊临床决策支持系统的特点：分类学描述

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Computer-based clinical decision support systems (CDSSs) have been championed for their potential to improve healthcare quality. However, there has been no systematic study of the types of CDSSs that have been developed. In previous work, we developed the CDSS Taxonomy for comprehensively describing the technical, workflow, and contextual characteristics of CDSSs. We now use the CDSS Taxonomy to describe outpatient CDSSs evaluated in randomized controlled trials published between 1998 and 2002. 31 studies comprising 42 CDSS systems were included in our analysis. The majority of systems used rule-based reasoning engines to "push " explicit, individualized recommendations concerning non-urgent decisions to clinicians or patients, but not both. 71% of the systems required someone to manually enter data into the system or to process the system output for use by the target decision maker. The average kappa for coding agreement was > 0.6 Our findings demonstrate that outpatient CDSSs vary greatly in design and function. Many impose a data entry or output-processing burden on clinic staff. More complete reporting of CDSS characteristics is needed in the literature.
机译：基于计算机的临床决策支持系统（CDSSS）已支持其潜力，以提高医疗保健质量。但是，没有对已经开发的CDS的类型进行了系统的研究。在以前的工作中，我们开发了CDSS分类学，用于全面描述CDSSS的技术，工作流程和上下文特征。我们现在使用CDSS分类法来描述1998年至2002年间公布的随机对照试验中评估的门诊CDSS。31项包含42个CDS系统的研究包括在我们的分析中。大多数系统使用了基于规则的推理发动机，即关于临床医生或患者的非紧急决定推动“推动”明确的，个性化的建议，但并非两者都是。 71％的系统需要某人将数据手动输入系统或处理目标决策者使用的系统输出。用于编码协议的平均Kappa> 0.6我们的研究结果表明，门诊CDSS在设计和功能方面变化很大。许多人对诊所员工进行了数据进入或输出处理负担。在文献中需要更完整的CDS特征报告。

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