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对基于命令行解析器的退伍军人事务部电子病历医嘱录入途径的评估。

Evaluation of a command-line parser-based order entry pathway for the Department of Veterans Affairs electronic patient record.

作者信息

Lovis C, Chapko M K, Martin D P, Payne T H, Baud R H, Hoey P J, Fihn S D

机构信息

Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA.

出版信息

J Am Med Inform Assoc. 2001 Sep-Oct;8(5):486-98. doi: 10.1136/jamia.2001.0080486.

DOI:10.1136/jamia.2001.0080486
PMID:11522769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC131046/
Abstract

OBJECTIVE

To improve and simplify electronic order entry in an existing electronic patient record, the authors developed an alternative system for entering orders, which is based on a command- interface using robust and simple natural-language techniques.

DESIGN

The authors conducted a randomized evaluation of the new entry pathway, measuring time to complete a standard set of orders, and users' satisfaction measured by questionnaire. A group of 16 physician volunteers from the staff of the Department of Veterans Affairs Puget Sound Health Care System-Seattle Division participated in the evaluation.

RESULTS

Thirteen of the 16 physicians (81%) were able to enter medical orders more quickly using the natural-language-based entry system than the standard graphical user interface that uses menus and dialogs (mean time spared, 16.06 +/- 4.52 minutes; P=0.029). Compared with the graphical user interface, the command--based pathway was perceived as easier to learn (P<0.01), was considered easier to use and faster (P<0.01), and was rated better overall (P<0.05).

CONCLUSION

Physicians found the command- interface easier to learn and faster to use than the usual menu-driven system. The major advantage of the system is that it combines an intuitive graphical user interface with the power and speed of a natural-language analyzer.

摘要

目的

为改进和简化现有电子病历中的电子医嘱录入,作者开发了一种基于命令界面的替代医嘱录入系统,该界面采用了强大且简单的自然语言技术。

设计

作者对新的录入途径进行了随机评估,测量完成一组标准医嘱的时间,并通过问卷调查衡量用户满意度。来自退伍军人事务部普吉特海湾医疗保健系统西雅图分部的16名医生志愿者参与了评估。

结果

16名医生中有13名(81%)使用基于自然语言的录入系统比使用菜单和对话框的标准图形用户界面能更快地录入医疗医嘱(平均节省时间16.06 +/- 4.52分钟;P = 0.029)。与图形用户界面相比,基于命令的途径被认为更容易学习(P < 0.01),使用起来更简便、速度更快(P < 0.01),总体评价更高(P < 0.05)。

结论

医生们发现命令界面比通常的菜单驱动系统更容易学习且使用速度更快。该系统的主要优点是它将直观的图形用户界面与自然语言分析器的功能和速度结合在了一起。

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