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牵马到水易:利用自动提醒增加在线决策支持的使用

Leading a horse to water: using automated reminders to increase use of online decision support.

作者信息

Cimino James J, Borovtsov Dmitriy V

机构信息

National Institutes of Health Clinical Center, Bethesda, Maryland, USA.

出版信息

AMIA Annu Symp Proc. 2008 Nov 6;2008:116-20.

Abstract

Online knowledge resources are generally underused despite their potentially beneficial effect on patient care. We are interested in ways to increase use of context-specific links, called infobuttons, from clinical information systems to such resources. We used log files to examine the impact of classroom instruction on infobutton use to pinpoint a particular context where infobuttons appeared to be underused by particular users. We sent users e-mail suggestions about infobuttons and reviewed log files to examine the impact of the messages. Log files showed that usage by medical students and housestaff following classroom instruction was initially high but then tapered off. In particular, we found that infobuttons were infrequently used in an outpatient, but not inpatient, medication application. We sent 552 suggestion e-mails to 371 users after log files showed that they used other resources in that context. Fifty-two of these users used infobuttons within 31 days of receiving the e-mail, which represents 25.9% of recipients who used any resource during the same period. Users responded best when the e-mail was sent within 5 days of using the resource. Traditional instruction had a limited sustained effect on improving the use of infobuttons. An automated method for sending targeted suggestions complemented the traditional approach.

摘要

在线知识资源尽管对患者护理可能有有益影响,但普遍未得到充分利用。我们对增加使用特定情境链接(称为信息按钮)的方法感兴趣,这些链接从临床信息系统指向此类资源。我们使用日志文件来检查课堂教学对信息按钮使用的影响,以确定特定用户似乎未充分使用信息按钮的特定情境。我们向用户发送有关信息按钮的电子邮件建议,并查看日志文件以检查这些消息的影响。日志文件显示,医学生和住院医师在课堂教学后的使用量最初很高,但随后逐渐减少。特别是,我们发现信息按钮在门诊药物应用中使用频率较低,但住院药物应用中并非如此。在日志文件显示用户在该情境下使用其他资源后,我们向371名用户发送了552封建议电子邮件。其中52名用户在收到电子邮件后的31天内使用了信息按钮,这占同期使用任何资源的收件人的25.9%。在使用资源后的5天内发送电子邮件时,用户的反应最佳。传统教学对改善信息按钮的使用效果有限且持续时间短。一种发送有针对性建议的自动化方法补充了传统方法。

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本文引用的文献

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AMIA Annu Symp Proc. 2007 Oct 11;2007:135-9.
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