Abstract
BackgroundWith 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.ResultsOur 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.ConclusionsWe 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.
Highlights
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
We developed means that test input method engines (TestIME) (Testing Input Method Engines), which is able to record the behavior of participants in EMR text entry tasks, so as to improving the efficiency of IMEs
In order to avoid the situation that participants transcribe the same text continuously and the bias caused by growing familiarity with the texts, we developed a random test task assignment algorithm, which can be described as following: 1. Import the predefined Comma-Separated Values (CSV) file which records test texts row by row
Summary
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. 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 EHR system. Doctors use pinyin input method to type medical texts into EMR systems. A Chinese input method engines (IMEs) convert the pinyin to Chinese characters, words or phrases in the backend. Most IMEs are based on the rules of pinyin coding Chinese characters to realize the mapping from pinyin to Chinese characters
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
