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Identify Factors that Influence Healthcare Quality by Adoption Mobile Health Application in KSA E-Health


Affiliations
1 Health Management Department Taif University Kareem, Saudi Arabia
2 Management Department Taif University, Saudi Arabia
3 Software Engineering Department Ajloun National University Jordan, Jordan
     

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The main purpose of this study was to identify factors that effect healthcare quality in the KSA context Mobile Health Application (MHAs) identified to positively influence the quality of health service provision in different health centers with a decrease in the number of health costs in various centers. Often lack of awareness and lack of education on the use of the MHA system makes the system not to be maximally used for the benefit of the people. This research proposes the use of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which will highlight the positive gains to be identified with the acceptance of the MHA system. Across the health care, sector UTAUT model has been used to evaluate the adoption and integration of the MHA system. The study proposes to use the UTAUT model to check on the physicians’ behavioral exercise and their propensity to use the MHA system for healthcare delivery. The primary aim of the research is to test trust information elements which are identified to influence adoption and integration on the preference to use MHA by different healthcare practitioners. The study focuses on Saudi Arabia hospitals which are using MHA. Furthermore, the study will evaluate various factors that influence the adoption and acceptance of the MHA system by conducting comprehensive examinations, the use of questionnaires, and did in-depth studies.

Method: The study proposes to use surveys across the Saudi Arabia hospitals to gather all required data from different healthcare centers and professionals who are already familiar with the MHA system. Total of 266 respondents is used from 522 surveyed forms and conduct necessary data analysis.


Keywords

Quality, MHAs, Healthcare, Acceptance New Technology, Trust Factors, Ehealth.
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  • Identify Factors that Influence Healthcare Quality by Adoption Mobile Health Application in KSA E-Health

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Authors

Karim Said Okour
Health Management Department Taif University Kareem, Saudi Arabia
Mohammed Atiah Alharbi
Management Department Taif University, Saudi Arabia
Malik Bader Alazzam
Software Engineering Department Ajloun National University Jordan, Jordan

Abstract


The main purpose of this study was to identify factors that effect healthcare quality in the KSA context Mobile Health Application (MHAs) identified to positively influence the quality of health service provision in different health centers with a decrease in the number of health costs in various centers. Often lack of awareness and lack of education on the use of the MHA system makes the system not to be maximally used for the benefit of the people. This research proposes the use of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which will highlight the positive gains to be identified with the acceptance of the MHA system. Across the health care, sector UTAUT model has been used to evaluate the adoption and integration of the MHA system. The study proposes to use the UTAUT model to check on the physicians’ behavioral exercise and their propensity to use the MHA system for healthcare delivery. The primary aim of the research is to test trust information elements which are identified to influence adoption and integration on the preference to use MHA by different healthcare practitioners. The study focuses on Saudi Arabia hospitals which are using MHA. Furthermore, the study will evaluate various factors that influence the adoption and acceptance of the MHA system by conducting comprehensive examinations, the use of questionnaires, and did in-depth studies.

Method: The study proposes to use surveys across the Saudi Arabia hospitals to gather all required data from different healthcare centers and professionals who are already familiar with the MHA system. Total of 266 respondents is used from 522 surveyed forms and conduct necessary data analysis.


Keywords


Quality, MHAs, Healthcare, Acceptance New Technology, Trust Factors, Ehealth.