医院医生使用电子信息的特点及其与病人数量的关系。

Claire Brickson, Angela Keniston, Michelle Knees, Marisha Burden
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引用次数: 0

摘要

背景:安全电子信息越来越多地被用于医疗机构的通信。虽然它有可能提高效率,但也与中断、信息量大以及多任务处理导致的错误风险有关:我们的目的是描述医院医生使用安全信息的模式,以了解信息量、信息模式以及对医院医生工作量的影响:这是一项回顾性横断面研究,研究对象是一家大型学术医疗中心的住院医生在 2023 年 4 月 1 日至 4 月 30 日期间接收和发送的 Epic Secure Chat 安全电子信息。使用皮尔逊相关系数检验分析了每天的对话数、每小时发送和访问的聊天数以及聊天发送和访问之间的平均间隔时间(滞后时间)。测量结果与病人数量和一天中的时间进行了对比:结果:住院医生平均每天发送或接收 130 条信息,平均每小时发送或接收 13 条信息。滞后时间中位数为 39 秒。医院内科上午的人口普查与每天的对话次数、每小时发送的聊天次数和每小时访问的聊天次数之间存在统计学意义上的显著相关性,但人口普查并不影响滞后时间:结论:安全信息量可能比以前报告的要高,这可能会影响住院医生的工作量和工作流程,并对中断、多任务处理和医疗差错产生意想不到的影响。应开展更多工作,以更好地了解当地的信息传递模式以及优化工作量和分心的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing electronic messaging use among hospitalists and its association with patient volumes.

Background: Secure electronic messaging is increasingly being utilized for communications in healthcare settings. While it likely increases efficiency, it has also been associated with interruptions, high message volumes, and risk of errors due to multitasking.

Objectives: We aimed to characterize patterns of secure messaging among hospitalists to understand the volume of messages, message patterns, and impact on hospitalist workload.

Methods: This was a retrospective cross-sectional study of Epic Secure Chat secure electronic messages received and sent by hospitalists from April 1 to April 30, 2023 at a large academic medical center. Number of conversations per day, number of chats sent and accessed per hour, and average minutes between when a chat was sent and accessed (lag time) were analyzed using a Pearson correlation coefficient test. Measures were plotted against patient volume and time of day.

Results: Hospitalists sent or received an average of 130 messages per day with an average of 13 messages sent or received per hour. The median lag time was 39 s. There was a statistically significant correlation between hospital medicine morning census and number of conversations per day, number of chats sent per hour, and number of chats accessed per hour, but census did not impact lag time.

Conclusion: Secure messaging volumes may be higher than previously reported, which may affect hospitalist workload and workflow and have unintended effects on interruptions, multitasking, and medical errors. Additional work should be done to better understand local messaging patterns and opportunities to optimize volume of work and distractions.

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