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Development of Computerized Clinical Decision Support to Assist in Detecting and Preventing Delirium in the Hospital Setting

机译:开发计算机辅助临床决策支持以在医院环境中检测和预防Detect妄

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Delirium is an acute confusional state commonly affecting hospitalized older patients. As a part of the Improving Care of Vulnerable Elders (ICOVE) project, interventions were designed to improve delirium screening and reduce use of strong anticholinergic medications while avoiding contributing to alert fatigue. Methods: Baseline compliance was assessed for each step in the workflow. The intervention was designed in cooperation with the clinicians who are responsible for those steps and built using the integrated decision support facilities of the electronic patient record system. Compliance after the intervention is assessed using the same computerized measures used to determine the baseline and using statistical process control charts. Results: Baseline compliance for delirium screening was 62.3%. Baseline compliance for avoiding strong anticholinergics was 84.3%, but varied from 17.2% to 97.3% for different therapeutic classes. Clinicians asked for a column added to a patient summary table to indicate whether delirium screening had been performed, and a non-interruptive onscreen alert for strong anticholinergic medications. However, the prescribing alert could only be implemented as a modal dialog alert or a passive alert accessed through clicking a tab in the patient record. We implemented the modal dialog alert for orders and the passive alert for active medications. Conclusions: We were able to perform computerized assessment of delirium screening and avoidance of strong anticholinergic medications, although both rules contained ambiguous terms which needed to be defined for the intervention. Assessment of multiple outcomes proved useful both for assessing the quality of care and for identifying where additional support was needed. Assessing the specificity of inferences about data not recorded in structured fields also revealed areas for improvement that would otherwise be missed. Additional functionality for flexibility in decision support in electronic pat- ent record systems may be needed to combat alert fatigue, although this must be weighed against the need to maintain a consistent user experience.
机译:谵妄是一种急性反对国家,通常影响住院患者的老年患者。作为弱势长者(ICOVE)项目的改善护理的一部分,旨在改善谵妄筛查,减少强抗胆碱能药物的使用,同时避免有助于警觉疲劳。方法:对工作流程中的每个步骤进行评估基线合规性。干预与负责这些步骤的临床医生进行干预,并使用电子患者记录系统的综合决策支持设施建造。使用用于确定基线的相同计算机化措施并使用统计过程控制图来评估进行干预后进行遵从性。结果:谵妄筛查的基线合规性为62.3%。避免强抗胆管能的基线依从性为84.3%,但不同治疗课程的17.2%至97.3%。临床医生要求将一列添加到患者摘要表中以指示是否已经进行了谵妄筛选,以及用于强抗胆碱能药物的非中断屏幕警报。但是,处方警报只能通过单击患者记录中的选项卡来实现为模态对话警报或访问的被动警报。我们实现了用于订单的模态对话框警报和活动疗程的被动警报。结论:我们能够对谵妄筛查和避免强烈的抗胆碱能药物进行计算机化评估,尽管这两个规则都包含了含糊不清的术语,需要为干预定义。对多种结果的评估证明,用于评估护理质量和识别所需的额外支持的何处。评估关于在结构领域中未记录的数据的推论的特异性也揭示了改进的区域,以否则将被错过。可能需要在电子模式测试系统中决策支持的灵活性的附加功能来打击警报疲劳,但必须对维持一致的用户体验的需要权衡。

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