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一种用于检测远程医疗相关诊断错误的电子触发器。

An electronic trigger to detect telemedicine-related diagnostic errors.

作者信息

Murphy Daniel R, Kadiyala Himabindu, Wei Li, Singh Hardeep

机构信息

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.

Baylor College of Medicine, Department of Medicine, Houston, TX, USA.

出版信息

J Telemed Telecare. 2025 Aug;31(7):1050-1055. doi: 10.1177/1357633X241236570. Epub 2024 Apr 1.

DOI:10.1177/1357633X241236570
PMID:38557263
Abstract

IntroductionThe COVID-19 pandemic advanced the use of telehealth-facilitated care. However, little is known about how to measure safety of clinical diagnosis made through telehealth-facilitated primary care.MethodsWe used the seven-step Safer Dx Trigger Tool framework to develop an electronic trigger (e-trigger) tool to identify potential missed opportunities for more timely diagnosis during primary care telehealth visits at a large Department of Veterans Affairs facility. We then applied the e-trigger algorithm to electronic health record data related to primary care visits during a 1-year period (1 April 2020-31 March 2021). The algorithm identified patients with unexpected visits within 10 days of an index telemedicine visit and classified such records as e-trigger positive. We then validated the e-trigger's ability to detect missed opportunities in diagnosis using chart reviews based on a structured data collection instrument (the Revised Safer Dx instrument).ResultsWe identified 128,761 telehealth visits (32,459 unique patients), of which 434 visits led to subsequent unplanned emergency department (ED), hospital, or primary care visits within 10 days of the index visit. Of these, 116 were excluded for clinical reasons (trauma, injury, or childbirth), leaving 318 visits (240 unique patients) needing further evaluation. From these, 100 records were randomly selected for review, of which four were falsely flagged due to invalid data (visits by non-providers or those incorrectly flagged as completed telehealth visits). Eleven patients had a missed opportunity in diagnosis, yielding a positive predictive value of 11%.DiscussionElectronic triggers that identify missed opportunities for additional evaluation could help advance the understanding of safety of clinical diagnosis made in telehealth-enabled care. Better measurement can help determine which patients can safely be cared for via telemedicine versus traditional in-person visits.

摘要

引言

新冠疫情推动了远程医疗辅助护理的应用。然而,对于如何衡量通过远程医疗辅助初级护理进行临床诊断的安全性,我们知之甚少。

方法

我们使用七步更安全诊断触发工具框架开发了一种电子触发工具,以识别在一家大型退伍军人事务部设施进行初级护理远程医疗就诊期间可能错过的更及时诊断机会。然后,我们将电子触发算法应用于与1年期间(2020年4月1日至2021年3月31日)初级护理就诊相关的电子健康记录数据。该算法识别出在索引远程医疗就诊后10天内进行意外就诊的患者,并将此类记录分类为电子触发阳性。然后,我们使用基于结构化数据收集工具(修订后的更安全诊断工具)的图表审查来验证电子触发工具检测诊断中错过机会的能力。

结果

我们识别出128,761次远程医疗就诊(32,459名不同患者),其中434次就诊在索引就诊后10天内导致随后的非计划急诊科、医院或初级护理就诊。其中,116次因临床原因(创伤、损伤或分娩)被排除,剩下318次就诊(240名不同患者)需要进一步评估。从这些就诊中,随机选择100份记录进行审查,其中4份因数据无效(非提供者就诊或被错误标记为已完成远程医疗就诊的就诊)被错误标记。11名患者存在诊断错过机会,阳性预测值为11%。

讨论

识别额外评估错过机会的电子触发工具有助于推进对远程医疗护理中临床诊断安全性的理解。更好的衡量方法有助于确定哪些患者可以通过远程医疗安全护理,而不是传统的面对面就诊。

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