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用于脓毒症临床决策支持系统的用户界面警报显示评估

Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.

作者信息

Long Devida, Capan Muge, Mascioli Susan, Weldon Danielle, Arnold Ryan, Miller Kristen

机构信息

Devida Long is a project coordinator, Childrens Hospital of Philadelphia, Philadelphia, Pennsylvania.

Muge Capan is an associate clinical professor at The Lebow College of Business, Drexel University, Philadelphia, Pennsylvania.

出版信息

Crit Care Nurse. 2018 Aug;38(4):46-54. doi: 10.4037/ccn2018352.

DOI:10.4037/ccn2018352
PMID:30068720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6080211/
Abstract

BACKGROUND

Hospitals are increasingly turning to clinical decision support systems for sepsis, a life-threatening illness, to provide patient-specific assessments and recommendations to aid in evidence-based clinical decision-making. Lack of guidelines on how to present alerts has impeded optimization of alerts, specifically, effective ways to differentiate alerts while highlighting important pieces of information to create a universal standard for health care providers.

OBJECTIVE

To gain insight into clinical decision support systems-based alerts, specifically targeting nursing interventions for sepsis, with a focus on behaviors associated with and perceptions of alerts, as well as visual preferences.

METHODS

An interactive survey to display a novel user interface for clinical decision support systems for sepsis was developed and then administered to members of the nursing staff.

RESULTS

A total of 43 nurses participated in 2 interactive survey sessions. Participants preferred alerts that were based on an established treatment protocol, were presented in a pop-up format, and addressed the patient's clinical condition rather than regulatory guidelines.

CONCLUSIONS

The results can be used in future research to optimize electronic medical record alerting and clinical practice workflow to support the efficient, effective, and timely delivery of high-quality care to patients with sepsis. The research also may advance the knowledge base of what information health care providers want and need to improve the health and safety of their patients.

摘要

背景

医院越来越多地转向针对脓毒症(一种危及生命的疾病)的临床决策支持系统,以提供针对患者的评估和建议,辅助基于证据的临床决策。缺乏关于如何呈现警报的指南阻碍了警报的优化,具体而言,缺乏在突出重要信息的同时区分警报的有效方法,无法为医疗保健提供者创建通用标准。

目的

深入了解基于临床决策支持系统的警报,特别针对脓毒症的护理干预措施,重点关注与警报相关的行为和认知以及视觉偏好。

方法

开发了一个交互式调查,用于展示脓毒症临床决策支持系统的新型用户界面,然后对护理人员进行调查。

结果

共有43名护士参加了2次交互式调查。参与者更喜欢基于既定治疗方案、以弹出格式呈现且针对患者临床状况而非监管指南的警报。

结论

这些结果可用于未来的研究,以优化电子病历警报和临床实践工作流程,支持为脓毒症患者高效、有效且及时地提供高质量护理。该研究还可能推进关于医疗保健提供者为改善患者健康和安全所需信息的知识库。

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本文引用的文献

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Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.临床决策支持系统中工作量、工作复杂性及重复警报对警报疲劳的影响。
BMC Med Inform Decis Mak. 2017 Apr 10;17(1):36. doi: 10.1186/s12911-017-0430-8.
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Improving Utilization of Clinical Decision Support Systems by Reducing Alert Fatigue: Strategies and Recommendations.通过减少警报疲劳提高临床决策支持系统的利用率:策略与建议
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Development and Implementation of Sepsis Alert Systems.脓毒症警报系统的开发与实施
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The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).《脓毒症及脓毒性休克第三次国际共识定义(脓毒症-3)》
JAMA. 2016 Feb 23;315(8):801-10. doi: 10.1001/jama.2016.0287.
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The Sepsis Early Recognition and Response Initiative (SERRI).脓毒症早期识别与应对倡议(SERRI)
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Hospital deaths in patients with sepsis from 2 independent cohorts.来自2个独立队列的脓毒症患者的医院死亡情况。
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