Improving clinical decision support reliability using anomaly detection methods
使用异常检测方法提高临床决策支持的可靠性
基本信息
- 批准号:10027782
- 负责人:
- 金额:$ 26.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-28 至 2020-09-27
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Clinical decision support (CDS) tools are designed to help healthcare providers make better decisions. Significant and mounting evidence suggests that CDS, when used effectively, can improve health care quality, safety, and effectiveness (2-7). Indeed, a good part of the promise of the electronic health record (EHR) to improve patient care relative to a paper-based healthcare ecosystem rests upon CDS. When CDS works well, healthcare providers can come to depend on it. However, we have identified a number of instances where CDS interventions malfunctioned and either stopped providing correct alerts or began providing incorrect alerts. In many cases, these malfunctions persisted for a long period of time and in some cases, they led to patient harm.
We propose a novel anomaly-detection-based method for identifying malfunctions in CDS systems so that they can be corrected. Such approaches have been used in other industries to identify deviations from expected behavior, such as credit card fraud or computer network intrusion detection, but never previously applied to the problem of CDS function and failure.
In preliminary work, we have shown that even simple anomaly-detection-based approaches can identify many CDS malfunctions. In the proposed project, we will extend these methods to improve their sensitivity and specificity and validate them at three sites: Brigham and Women's Hospital, The Ohio State University Medical Center and the University of Texas. We will also conduct a qualitative assessment and root cause analyses of CDS malfunctions and develop an open-source modular dashboard and alerting system for tracking them.
Our project has three aims: 1) to inventory CDS failures and issues that have occurred in three medical centers and conduct root cause analyses to identify causes, indicators, and potential solutions, 2) to develop and validate generalizable anomaly detection approaches to identifying CDS failures and 3) to create, implement, and test a useful and generalizable CDS dashboard and alert system for real-time monitoring for CDS anomalies.
描述(由申请人提供):临床决策支持(CDS)工具旨在帮助医疗保健提供者做出更好的决策。越来越多的重要证据表明,如果有效使用CDS,可以提高医疗质量、安全性和有效性(2-7)。事实上,电子健康记录(EHR)相对于基于纸张的医疗保健生态系统改善患者护理的承诺,很大一部分依赖于CDS。当CDS运作良好时,医疗保健提供者可以依赖它。但是,我们已经确定了许多CDS干预发生故障的实例,这些实例要么停止提供正确的警报,要么开始提供错误的警报。在许多情况下,这些故障持续了很长一段时间,在某些情况下,它们导致了病人的伤害。
项目成果
期刊论文数量(19)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Change-Point Detection for Monitoring Clinical Decision Support Systems with a Multi-Process Dynamic Linear Model.
使用多进程动态线性模型监测临床决策支持系统的变化点检测。
- DOI:10.1109/bibm.2017.8217712
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Liu,Siqi;Wright,Adam;Sittig,DeanF;Hauskrecht,Milos
- 通讯作者:Hauskrecht,Milos
Change-Point Detection Method for Clinical Decision Support System Rule Monitoring.
- DOI:10.1007/978-3-319-59758-4_14
- 发表时间:2017-06
- 期刊:
- 影响因子:0
- 作者:Liu S;Wright A;Hauskrecht M
- 通讯作者:Hauskrecht M
Clinical decision support malfunctions related to medication routes: a case series.
- DOI:10.1093/jamia/ocac150
- 发表时间:2022-10-07
- 期刊:
- 影响因子:6.4
- 作者:Wright, Adam;Nelson, Scott;Rubins, David;Schreiber, Richard;Sittig, Dean F.
- 通讯作者:Sittig, Dean F.
Importance of clinical decision support system response time monitoring: a case report.
临床决策支持系统响应时间监控的重要性:案例报告。
- DOI:10.1093/jamia/ocz133
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Rubins,David;Wright,Adam;Alkasab,Tarik;Ledbetter,MStephen;Miller,Amy;Patel,Rajesh;Wei,Nancy;Zuccotti,Gianna;Landman,Adam
- 通讯作者:Landman,Adam
Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record.
转换为商业电子健康记录后,中断性药物相互作用警报的有效性降低。
- DOI:10.1007/s11606-018-4415-9
- 发表时间:2018
- 期刊:
- 影响因子:5.7
- 作者:Wright,Adam;Aaron,Skye;Seger,DianeL;Samal,Lipika;Schiff,GordonD;Bates,DavidW
- 通讯作者:Bates,DavidW
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ADAM T WRIGHT其他文献
ADAM T WRIGHT的其他文献
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{{ truncateString('ADAM T WRIGHT', 18)}}的其他基金
Strategies for Engineering Reliable Value Sets (SERVS)
工程可靠价值集 (SERVS) 的策略
- 批准号:
10417435 - 财政年份:2022
- 资助金额:
$ 26.66万 - 项目类别:
Safety Promotion through Early Event Detection in the Elderly (SPEEDe)
通过老年人早期事件检测促进安全 (SPEEDe)
- 批准号:
10339398 - 财政年份:2020
- 资助金额:
$ 26.66万 - 项目类别:
Safety Promotion through Early Event Detection in the Elderly (SPEEDe)
通过老年人早期事件检测促进安全 (SPEEDe)
- 批准号:
10093288 - 财政年份:2020
- 资助金额:
$ 26.66万 - 项目类别:
Safety Promotion through Early Event Detection in the Elderly (SPEEDe)
通过老年人早期事件检测促进安全 (SPEEDe)
- 批准号:
10569125 - 财政年份:2020
- 资助金额:
$ 26.66万 - 项目类别:
Improving clinical decision support reliability using anomaly detection methods
使用异常检测方法提高临床决策支持的可靠性
- 批准号:
8929296 - 财政年份:2014
- 资助金额:
$ 26.66万 - 项目类别:
Improving clinical decision support reliability using anomaly detection methods
使用异常检测方法提高临床决策支持的可靠性
- 批准号:
8745137 - 财政年份:2014
- 资助金额:
$ 26.66万 - 项目类别:
Improving Quality by Maintaining Accurate Problem Lists in the EHR (IQ-MAPLE)
通过在 EHR (IQ-MAPLE) 中维护准确的问题列表来提高质量
- 批准号:
8669579 - 财政年份:2014
- 资助金额:
$ 26.66万 - 项目类别:
Improving Quality by Maintaining Accurate Problem Lists in the EHR (IQ-MAPLE)
通过在 EHR (IQ-MAPLE) 中维护准确的问题列表来提高质量
- 批准号:
8838253 - 财政年份:2014
- 资助金额:
$ 26.66万 - 项目类别:
Improving clinical decision support reliability using anomaly detection methods
使用异常检测方法提高临床决策支持的可靠性
- 批准号:
9130886 - 财政年份:2014
- 资助金额:
$ 26.66万 - 项目类别:
Improving Quality by Maintaining Accurate Problem Lists in the EHR (IQ-MAPLE)
通过在 EHR (IQ-MAPLE) 中维护准确的问题列表来提高质量
- 批准号:
9040788 - 财政年份:2014
- 资助金额:
$ 26.66万 - 项目类别:
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