TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task

Abstract Background With the wide application of Electronic Medical Record (EMR) systems, it has become a daily work for doctors using keyboards to input clinical information into the EMR system. Chinese Input Method Engine (IME) is essential for doctors to convert pinyin to Chinese characters, and...

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Main Authors: Feihong Yang, Haihong Guo, Jiao Li
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:https://doi.org/10.1186/s12911-019-0932-7
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author Feihong Yang
Haihong Guo
Jiao Li
author_facet Feihong Yang
Haihong Guo
Jiao Li
author_sort Feihong Yang
collection DOAJ
description Abstract Background With the wide application of Electronic Medical Record (EMR) systems, it has become a daily work for doctors using keyboards to input clinical information into the EMR system. Chinese Input Method Engine (IME) is essential for doctors to convert pinyin to Chinese characters, and an efficient IME would improve doctors’ healthcare work. We developed a tool (called TestIME) to evaluating the efficiency of the current IMEs used in doctors’ working scenario. The proposed TestIME consists of four major function modules: 1) Test tasks assignment, to ensure that participants using different IMEs to complete the same test task in a random order; 2) IME automatic switching, to automatically switch the input method engines without changing the experimental settings; 3) participants’ behavior monitoring, to record the participants’ keystrokes and timestamp during the typing process; 4) questionnaire, to collect the participants’ subjective data. In addition, we designed a preliminary experiment to demonstrate the usability of TestIME. We selected three sentences from EMR corpus and news corpus as test texts respectively, and recruited four participants in a medical school to complete text entry tasks using the TestIME. Results Our TestIME was able to generate 72 files that record the detailed participants’ keyboard behavior while transcribing test texts, and 4 questionnaires that reflect participants’ psychological states. These profiles can be downloaded in a structured format (CSV) from the TestIME for further analysis. Conclusions We developed a tool (TestIME) to evaluate Chinese input methods in the EMR entry tasks. In the given text input scenario in healthcare, the TestIME is capable to record doctors’ keyboard behavior, frequently used Chinese terms, IME usability feedback etc. These user profiles are important to improve current IME tools for doctors and further improve healthcare service.
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spelling doaj.art-dbc433901e2946bba2cfca698662cb132022-12-21T22:22:16ZengBMCBMC Medical Informatics and Decision Making1472-69472019-12-0119S511010.1186/s12911-019-0932-7TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry taskFeihong Yang0Haihong Guo1Jiao Li2Institute of Medical Information and Library, Chinese Academy of Medical Sciences / Peking Union Medical CollegeInstitute of Medical Information and Library, Chinese Academy of Medical Sciences / Peking Union Medical CollegeInstitute of Medical Information and Library, Chinese Academy of Medical Sciences / Peking Union Medical CollegeAbstract Background With the wide application of Electronic Medical Record (EMR) systems, it has become a daily work for doctors using keyboards to input clinical information into the EMR system. Chinese Input Method Engine (IME) is essential for doctors to convert pinyin to Chinese characters, and an efficient IME would improve doctors’ healthcare work. We developed a tool (called TestIME) to evaluating the efficiency of the current IMEs used in doctors’ working scenario. The proposed TestIME consists of four major function modules: 1) Test tasks assignment, to ensure that participants using different IMEs to complete the same test task in a random order; 2) IME automatic switching, to automatically switch the input method engines without changing the experimental settings; 3) participants’ behavior monitoring, to record the participants’ keystrokes and timestamp during the typing process; 4) questionnaire, to collect the participants’ subjective data. In addition, we designed a preliminary experiment to demonstrate the usability of TestIME. We selected three sentences from EMR corpus and news corpus as test texts respectively, and recruited four participants in a medical school to complete text entry tasks using the TestIME. Results Our TestIME was able to generate 72 files that record the detailed participants’ keyboard behavior while transcribing test texts, and 4 questionnaires that reflect participants’ psychological states. These profiles can be downloaded in a structured format (CSV) from the TestIME for further analysis. Conclusions We developed a tool (TestIME) to evaluate Chinese input methods in the EMR entry tasks. In the given text input scenario in healthcare, the TestIME is capable to record doctors’ keyboard behavior, frequently used Chinese terms, IME usability feedback etc. These user profiles are important to improve current IME tools for doctors and further improve healthcare service.https://doi.org/10.1186/s12911-019-0932-7Input method engineElectric medical recordText entryEvaluation toolChinese
spellingShingle Feihong Yang
Haihong Guo
Jiao Li
TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
BMC Medical Informatics and Decision Making
Input method engine
Electric medical record
Text entry
Evaluation tool
Chinese
title TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
title_full TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
title_fullStr TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
title_full_unstemmed TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
title_short TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
title_sort testime an application for evaluating the efficiency of chinese input method engines in electronic medical record entry task
topic Input method engine
Electric medical record
Text entry
Evaluation tool
Chinese
url https://doi.org/10.1186/s12911-019-0932-7
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