Farhad Lotfi; Kimia Fatehi; Nasrin Badie

An Analysis of Key Factors to Mobile Health Adoption using Fuzzy AHP

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Author(s)

Farhad Lotfi ^1,* Kimia Fatehi ¹ Nasrin Badie ²

1. Department of Information Technology Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

2. Department of Information Technology Software Development, School of Engineering, West Tehran Islamic Azad University, Shahid Hasan Azari St, Ashrafi Esfahani Expy, Tehran, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2020.02.01

Received: 21 Dec. 2019 / Revised: 27 Dec. 2019 / Accepted: 1 Jan. 2020 / Published: 8 Apr. 2020

Index Terms

Mobile Health, Fuzzy AHP, Smart Healthcare, Smart City

Abstract

In the present era, ICT has brought significant facilities for the growth and innovation of organizations. Thus, with the advent of information technology in the field of healthcare, significant advances have been made in terms of the high level of care in preventing a variety of diseases and treatments as well. Mobile health, which is a part of smart health concept, helps people, at any time and place, use smart devices such as smartphones, smart watches, and the like to monitor their health status like pulse, blood pressure and so on. Therefore, this article aims to examine the effective factors on the adoption of mobile health technology. According to the field of research and the number of people considered, this study examined some of the factors affecting the adoption of mobile health technology among 19 expert experts who have mainly researched in this field. This research uses the Fuzzy AHP method. The main factors for admitting mobile health technology were divided into five main categories, including system quality, information quality, individual factors, service quality, and organizational quality. The results indicated that system quality, quality of information and individual factors have more impact on the acceptance of mobile health technology than service quality and organizational factors. In addition, according to the results obtained in this study, mobile health can be used as the most reliable and safest tools to control and monitor diseases. Ultimately, experts emphasized the need to use mobile health technology continuously.

Cite This Paper

Farhad Lotfi, Kimia Fatehi, Nasrin Badie, "An Analysis of Key Factors to Mobile Health Adoption using Fuzzy AHP", International Journal of Information Technology and Computer Science(IJITCS), Vol.12, No.2, pp.1-17, 2020. DOI:10.5815/ijitcs.2020.02.01

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