Cargando…

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

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 effic...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Feihong, Guo, Haihong, Li, Jiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894108/
https://www.ncbi.nlm.nih.gov/pubmed/31801517
http://dx.doi.org/10.1186/s12911-019-0932-7
_version_ 1783476324486086656
author Yang, Feihong
Guo, Haihong
Li, Jiao
author_facet Yang, Feihong
Guo, Haihong
Li, Jiao
author_sort Yang, Feihong
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6894108
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-68941082019-12-11 TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task Yang, Feihong Guo, Haihong Li, Jiao BMC Med Inform Decis Mak Software 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. BioMed Central 2019-12-05 /pmc/articles/PMC6894108/ /pubmed/31801517 http://dx.doi.org/10.1186/s12911-019-0932-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Yang, Feihong
Guo, Haihong
Li, Jiao
TestIME: an application for evaluating the efficiency of Chinese input method engines in electronic medical record entry task
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 Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894108/
https://www.ncbi.nlm.nih.gov/pubmed/31801517
http://dx.doi.org/10.1186/s12911-019-0932-7
work_keys_str_mv AT yangfeihong testimeanapplicationforevaluatingtheefficiencyofchineseinputmethodenginesinelectronicmedicalrecordentrytask
AT guohaihong testimeanapplicationforevaluatingtheefficiencyofchineseinputmethodenginesinelectronicmedicalrecordentrytask
AT lijiao testimeanapplicationforevaluatingtheefficiencyofchineseinputmethodenginesinelectronicmedicalrecordentrytask