A theoretical framework for the adoption of cloud computing in hospital information systems /Shady Gomaa Abdulaziz

Shady Gomaa , Abdulaziz (2021) A theoretical framework for the adoption of cloud computing in hospital information systems /Shady Gomaa Abdulaziz. PhD thesis, Universiti Malaya.

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Abstract

Cloud Computing (CC) is becoming a favourable trend in managing digital data. However, there is a low CC adoption rate in Health-Care Institutions (HCIs) than in other industries due to many reasons like awareness, staff, and costs. This research aims to: (1) investigate the CC adoption in the Saudi Health-Care Institutions (SHCIs), (2) determine the factors that influence the CC adoption in selected SHCIs, (3) develop a theoretical framework for the deployment of CC adoption in selected HCIs based on factors determined earlier, and (4) validate a research framework for the adoption of CC in SHCIs. The purpose of this study is to determine the factors influencing CC adoption in SHCIs. The constructs used to develop a theoretical framework for deployment CC in SHCIs. Data were collected by a purposive sample of (230) health-care staff for three public hospitals in the Kingdom of Saudi Arabia (KSA) as a case study. Two hundred (200) research participants contributed extensively in answering the questionnaire and participated in assessing the improvised method; also, the researcher observations were employed. The data analysis was performed based on the Statistical Package for the Social Sciences (SPSS) to interpret the statistics for data analyses and regression. Besides, the structured equation modelling technique (SEM) using the partial least squares (Plsek & Greenhalgh, 2001) path modelling method was used to assess correlations between the developed framework themes of CC adoption in SHCIs as the independent variable with the intention to adopt CC as the dependent variable. Moreover, a thematic approach to the analysis was applied to allow the researcher to report the study observation findings. The findings of this study indicated that Compatibility, Complexity, IT Infrastructure Readiness, Relative Advantage, Sharing & Collaboration, Security and Privacy, Technology Readiness, Trust, Government Support, Regulatory Concerns, External Support, Mobile Access, Soft Financial, Perceived Ease of Use are the significant factors affect CC adoption in SHCIs. Finally, this research's findings based on observational data indicated limited use of the intent of technology adoption HIS based-on CC. Factors that serve as barriers to implementing and accepting technology include the staff's capacity and expertise, management issues, resources, community, technological issues, environmental issues, rules of operation, insufficient infrastructure, and language issues. This research's findings can also guide future empirical research into the factors that affect CC adoption in the health-care context.

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