Use of Smartphone-Based Electronic Medical Records by Nurses in Tertiary Teaching Hospitals

Author:

Kim Suhyun,Lee Seonah

Abstract

The adoption of smartphone-based electronic medical records is increasing in the healthcare sector. Nurses are the largest group using mobile electronic medical records. This study examined the system quality, information quality, service quality, usefulness, and ease of using mobile electronic medical records, the effects of the three qualities of the mobile electronic medical records on the usefulness and ease of use, and nurses' preference for using mobile electronic medical records. The participants were 210 nurses using a mobile electronic medical record system for over a month. An instrument modified from existing instruments was used. The data were analyzed using descriptive statistics and multiple regression analysis. The participants perceived the system and information quality more positively than the service quality of the mobile electronic medical records. They perceived the mobile electronic medical records as being useful and easy to use. System quality and information quality significantly affected the perception of the usefulness and ease of using the mobile electronic medical record. They preferred to use it as a means to identify patients' conditions at any time. For user satisfaction and the implications for nursing practice, the usability and functionality of a mobile electronic medical record system should be continuously assessed.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Nursing (miscellaneous),Health Informatics

Reference14 articles.

1. Analysis of the factors influencing healthcare professionals' adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital;BMC Medical Informatics and Decision Making,2016

2. The association between using a mobile version of an electronic health record and the well-being of nurses: cross-sectional survey study;JMIR Medical Informatics,2021

3. Usage pattern differences and similarities of mobile electronic medical records among health care providers;JMIR mHealth and uHealth,2017

4. Frequent mobile electronic medical records users respond more quickly to emergency department consultation requests: retrospective quantitative study;JMIR mHealth and uHealth,2020

5. A mobile application to support bedside nurse documentation and care: a time and motion study;JAMIA Open,2021

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