Mobile Learning in Medical Coding Course
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Abstract
Medical coding comprises the assignment of appropriate ICD-10 codes to patient diagnoses through coding exercises. However, due to their lack of knowledge, students often commit coding errors, resulting in incorrect code assignments. The purpose of developing Medical Coding Simulation (MedCoS) is therefore to help students improve their motor and technical skills in challenging environments. This research aims to predict how likely students are to use MedCoS by analysing their attitudes (AT), subjective norms (SN), and perceived behavioural control (PBC). In order to achieve this objective, descriptive, reliability, and multiple regression analyses were conducted using SPSS. The study involves students from the fifth and sixth semesters who took both courses. The majority of respondents (90.2%, n = 102) were between the ages of 23 and 24. The findings suggest that the attitudes and perceived behavioral control of students can predict their intend to use MedCoS. This significant result enables MedCoS to plan the next phase of application development in order to effectively enhance course performance.
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