使用电子健康记录数据识别医疗保健质量改进方面的佼佼者。

Q3 Medicine
Adam Baus, Andrea Calkins, Cecil Pollard, Craig Robinson, Robin Seabury, Marcus Thygeson, Curt Lindberg, Andrya Durr
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引用次数: 0

摘要

积极偏差评估是一种识别个人、团队或组织比他们的同龄人表现得更好的方法。通过识别在给定环境中表现相对较好的医疗团队成员,并与其他人分享他们的意见、行动和实践,该方法已被用于支持医疗保健环境中的医疗质量改进流程。本案例研究提出了一个适应性强的、直接的框架,用于识别医疗保健环境中的积极偏差或强绩效,适用于任何初级保健卫生系统跟踪质量措施,旨在了解其提供者、诊所站点或组织的绩效。此外,该协议不需要使用面谈等更耗时的方法,而是基于重新利用电子健康记录中已经记录的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Electronic Health Records Data to Identify Strong Performers in Healthcare Quality Improvement.

Assessing for positive deviance is one method of identifying individuals, teams, or organizations that perform substantially better than their peers. This approach has been used to support quality-of-care improvement processes in healthcare settings by identifying healthcare team members who perform comparatively well within a given environment and sharing their opinions, actions, and practices with others. This case study presents an adaptable, straightforward framework for identifying positive deviance, or strong performers, within the healthcare setting and is intended for any primary care health system tracking quality measures and aiming to understand the performance of their providers, clinic sites, or organization. Moreover, this protocol does not require the use of more time-consuming methods, such as interviews, and is instead based on repurposing data already being documented in the electronic health record.

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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
0
期刊介绍: Perspectives in Health Information Management is a scholarly, peer-reviewed research journal whose mission is to advance health information management practice and to encourage interdisciplinary collaboration between HIM professionals and others in disciplines supporting the advancement of the management of health information. The primary focus is to promote the linkage of practice, education, and research and to provide contributions to the understanding or improvement of health information management processes and outcomes.
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