Original Article

Understanding students' continued use of electronic medical records in hospital: task technology to performance chain approach

Umi K. Nisak, Hari B. Notobroto, Arief Hargono, Cholifah Cholifah, Aditiawardana Aditiawardana
Journal of Public Health in Africa | Vol 14, S 2 : 6th International Symposium of Public Health ISoPH| a422 | DOI: https://doi.org/10.4081/jphia.2023.2561 | © 2024 Umi K. Nisak, Hari B. Notobroto, Arief Hargono, Cholifah Cholifah, Aditiawardana Aditiawardana | This work is licensed under CC Attribution 4.0
Submitted: 11 April 2024 | Published: 25 May 2023

About the author(s)

Umi K. Nisak, Doctoral Program of Public Health, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
Hari B. Notobroto, Department of Epidemiology and Biostatistics, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
Arief Hargono, Department of Epidemiology and Biostatistics, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
Cholifah Cholifah, Health Science Faculty, Universitas Muhammadiyah, Sidoarjo, Indonesia
Aditiawardana Aditiawardana, Dr. Soetomo Hospital, Surabaya, Indonesia

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Abstract

One of the main goals of research on information systems is to help end users and organizations use information technology effectively. Fieldwork practice trains students to apply their knowledge and work skills based on the standards of the health ministry in electronic medical record regulations. This activity also prepares students to live in their health information management profession. This study examined the willingness and ability to use electronic medical records in hospitals to determine how well students understand electronic medical records and what influences their use. This study was conducted at a hospital in Mojokerto, East Java, where students practice fieldwork. An institutional-based crosssectional study was conducted to assess the acceptability of the EMR system among students at Mojokerto Hospital from July 1-31st, 2022. The sampling method used simple random sampling of 136. A structured questionnaire was adopted from the previous studies. The questionnaire consists of 16 questions from the TTF, the expected consequences of use (COU), Facilitating Condition (FC), utilization (UI), and Performance Impact (PI) constructs. Data were analyzed using SmartPLS version 3.0. The result is that Task-technology fit is associated with the expected consequences of use (P=0.00), Consequences of Use (COU) are associated with Utilization (P=0.000), and the Facilitating condition is related to Utilization (P=0.00). We can conclude that task technology fit is indirectly associated with Utilization because of the Consequences of Use (COU). Task-technology fit, and Utilization does not affect the performance impact. This study can continue by testing the construct variables by the students on the field trips and by healthcare providers such as nurses and doctors.


Keywords

task-technology; student; electronic medical record; hospital; chain approach

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