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Factors Affecting the Successful Adoption of e-Health Cloud Based Health System From Healthcare Consumers’ Perspective
Author(s) -
Patience E. Idoga,
Mehmet Toycan,
Halil Nadiri,
Erbug Celebi
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2881489
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Cloud computing in healthcare has witnessed a major development in recent years due to its remote access capabilities among others. Studies have shown that it has attracted great attention in the field of healthcare. However, research studies show a number of healthcare consumers are yet to accept the technology, especially in developing countries due to reasons, such as the data security and the improper utilization of available information and communication technologies (ICTs) in healthcare. This paper therefore aims to identify factors affecting healthcare consumers' attitude toward the adoption of the cloud-based health center. Questionnaires were administered to 465 respondents in four locations in Benue, Nigeria with 76.9% response rate. The analysis of the data was conducted with statistical package for social science (20.0), factor analysis, and LISREL (9.30), was used to determine the structural path model. Using the social technical design approach, we developed the cloud-based health center which will provide access to healthcare services remotely to rural communities and reduce the cost/time of medical healthcare delivery when implemented into the Nigerian healthcare system. The results show that performance expectancy (β = 0.31 and t = 5.80), effort expectancy (β = 0.19 and t = 3.90), social influence (β = 0.21 and t = 3.95), facilitating conditions (β = 0.22 and t = 4.82), data security (β = 0.15 and t = 3.07), and information sharing (β = 0.11 and t = 2.53) had a significant impact on the behavioral intention of healthcare consumers. However, cloud-based health knowledge (β = 0.09 and t = 1.49) was found to be statistically not significant. With these findings, healthcare policy makers must think carefully before the implementation of cloud-based health center. Otherwise, the integration will continue to create a challenge.

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