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Acute Care Learning Laboratory - Reducing Threats to Diagnostic Fidelity in Critical Illness

急性护理学习实验室 - 减少危重疾病诊断保真度的威胁

基本信息

批准号：
10216339
负责人：
Brian W Pickering
金额：
$ 60.14万
依托单位：
MAYO CLINIC ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-30 至 2022-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10216339
关键词：
Acute Care Learning Laboratory Reducing

项目摘要

Project Summary/Abstract Despite the recognition that diagnostic errors and delays are a major contributor to preventable deaths in the USA, little progress has been made to reduce mortality outcomes from this known killer. Although there is a considerable body of literature outlining contributing causes, an effective strategy leading to a meaningful reduction in diagnostic error and delay rates has not made its way into practice. This has, at least in part, been due to ineffective implementation that has focused on the healthcare team's role and has failed to incorporate the complexity of the organizational and systems processes within the clinical environment. This proposal is unique and novel and combines mixed-methods research approaches with systems engineering research approaches to understand the interplay of the multiple factors contributing to diagnostic error and delay. The knowledge gained from this holistic approach will then be used within the learning laboratory to inform the design, development, evaluation, and refinement of the solutions to diagnostic error and delay. “Control Tower” will be the staging ground for the in situ learning laboratory and will be built on top of a well-established clinical informatics infrastructure and hospital environment open to innovation and practice change. Specifically, using this innovative approach we will evaluate the effectiveness of learning laboratory interventions on the rate of diagnostic error and delay in patients with emerging critical illness. The interventions developed through “Control Tower” have the potential to be shared with multiple practices and adapted to a variety of clinical environments.

项目总结/文摘

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Feasibility and Reliability Testing of Manual Electronic Health Record Reviews as a Tool for Timely Identification of Diagnostic Error in Patients at Risk.

手动电子健康记录审查作为及时识别高危患者诊断错误的工具的可行性和可靠性测试。

DOI：
10.1055/s-0040-1713750
发表时间：
2020
期刊：
Applied clinical informatics
影响因子：
2.9
作者：
Soleimani,Jalal;Pinevich,Yuliya;Barwise,AmeliaK;Huang,Chanyan;Dong,Yue;Herasevich,Vitaly;Gajic,Ognjen;Pickering,BrianW
通讯作者：
Pickering,BrianW

Investigating the cognitive capacity constraints of an ICU care team using a systems engineering approach.

DOI：
10.1186/s12871-021-01548-7
发表时间：
2022-01-04
期刊：
BMC anesthesiology
影响因子：
2.2
作者：
Park J;Zhong X;Dong Y;Barwise A;Pickering BW
通讯作者：
Pickering BW

Time to diagnostic certainty for saddle pulmonary embolism in hospitalized patients.

DOI：
10.17305/bb.2022.8393
发表时间：
2023-07-03
期刊：
BIOMOLECULES AND BIOMEDICINE
影响因子：
0
作者：
Pinevich, Yuliya;Barwise, Amelia K.;Austin, John Matthew;Soleimani, Jalal;Herasevich, Svetlana;Redmond, Sarah;Dong, Yue;Herasevich, Vitaly;Gajic, Ognjen;Pickering, Brian W.
通讯作者：
Pickering, Brian W.

Clinical Characteristics, Treatment, and Outcomes of Critically Ill Patients With COVID-19: A Scoping Review.

DOI：
10.1016/j.mayocp.2020.10.022
发表时间：
2021-01
期刊：
Mayo Clinic proceedings
影响因子：
8.9
作者：
Huang C;Soleimani J;Herasevich S;Pinevich Y;Pennington KM;Dong Y;Pickering BW;Barwise AK
通讯作者：
Barwise AK