Opportunities and Challenges of Cloud Computing to Improve Health Care Services

Kuo, Alex

doi:10.2196/jmir.1867

Cited by 386 publications

(248 citation statements)

References 51 publications

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“…Kuo in [4] recommended four aspects to be assessed when adopting health Cloud Computing: management, technology, security, and legal. Kuo also proposed a Healthcare Cloud Computing Strategic Planning (HC2SP) model.…”

Section: Related Workmentioning

confidence: 99%

“…Cloud Computing is a developing phenomenon in the ICT field that has gained increasing attention from healthcare organisations to overcome some of the e-health barriers [4]. Although there is no generally accepted definition of Cloud Computing [4,5], most of the definitions emphasise similar aspects [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Although there is no generally accepted definition of Cloud Computing [4,5], most of the definitions emphasise similar aspects [5,6]. Firstly Cloud Computing is a model of delivering IT services and resources not new technol-ogy.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the determinants of Cloud Computing adoption in Saudi healthcare organisations

Alharbi

Atkins

Stanier

2016

Complex Intell. Syst.

110

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Cloud Computing is an evolving information technology paradigm that impacts many sectors in many countries. Although Cloud Computing is an emerging technology there is little in the literature concerning its application in the Saudi healthcare sector. This paper examines and identifies the factors that will influence the adoption of Cloud Computing in Saudi healthcare organisations. The study integrates the TOE (Technology-Organization-Environment) framework with the Information System Strategic Triangle (IS Triangle) and the HOT-fit (Human-OrganizationTechnology) model to provide a holistic evaluation of the determinants of Cloud Computing adoption in healthcare organisations. Of the five perspectives examined in this study, the Business perspective was found to be the most important followed by the Technology, Organisational and Environmental perspectives and finally the Human perspective. The findings of the study showed that the five most important factors influencing the adoption of Cloud Computing in this context are soft financial analysis, relative advantage, hard financial analysis, attitude toward change and pressure from partners in the business ecosystem. This study identifies the critical factors for both practitioners and academics that influence Cloud Computing adoption decision-making in Saudi healthcare.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the determinants of Cloud Computing adoption in Saudi healthcare organisations

Alharbi

Atkins

Stanier

2016

Complex Intell. Syst.

110

View full text Add to dashboard Cite

show abstract

“…In addition, according to Table 1, it can be demonstrated that in order to explain the adoption of several diverse IS innovations; TOE framework can successfully be utilized. Likewise, the TOE model was applied and tested in Asian, European, and American, in addition to both developed and developing countries [73], [83][84][85]. To all intents and purposes, the experts generally agree on the three TOE dimensions suggested by Tornatzky and Fleischer [76], including the effect of environment, organization and technology adoption.…”

Section: Technology-organization-environment Frameworkmentioning

confidence: 99%

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

Esfahani

Ahmadi

Nilashi

et al. 2017

IJET

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Background: Hospital Information System (HIS) is implemented to provide high-quality patient care. The aim of this study is to identify significant dimensional factors that influence the hospital decision in adopting the HIS. Methods: This study designs the initial integrated model by taking the three main dimensions in adopting HIS technology. Accordingly, DEMATEL was utilized to test the strength of interdependencies among the dimensions and variables. Then ANP approach is adapted to determining how the factors are weighted and prioritized by professionals and main users working in the Iranian public hospitals, involved with the HIS system. Results: The results indicated that "Perceived Technical Competence" is a key factor in the Human dimension. The respondents also believed that "Relative Advantage," "Compatibility" and "Security Concern" of Technology dimension should be further assessed in relation to other factors. With respect to Organization dimension, "Top Management Support" and "Vendor Support" are considered more important than others. Conclusion: Applying the TOE and HOT-fit models as the pillar of our developed model with significant findings add to the growing literature on the factors associated with the adoption of HIS and also shed some light for managers of public hospitals in Iran to successfully adopt the HIS.

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“…In this respect, a study [9] suggests that a high-level integration of data, interoperability, and its sharing are essential among different healthcare practitioners and institutions to deliver secured high-quality healthcare to the patients they serve. In 2011, Kuo reported that cloud computing (a form of distributed computing) is a developing phenomenon in the field, Information Communication Technology (ICT) field that has gained increasing attention from healthcare organisations to overcome some of the e-health barriers [10]. He claimed that ICT can offer economic savings by decreasing the initial and operational costs of e-health to a great extent.…”

Section: Introductionmentioning

confidence: 99%

Big data for secure healthcare system: a conceptual design

Sarkar

2017

Complex Intell. Syst.

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The concept of big data is now treated from different points of view covering its implications in many fields remarkably including healthcare. To achieve the wealth of health information, integrating, sharing and availing data are the essential tasks that ultimately demand the concept of distributed system. However, privacy and security of data are the matter of concern, as data need to be accessed from various locations in the distributed system. The present study first provides a broad overview on big data and the effectiveness of healthcare big data for non-expert readers. Then, this article builds a distributed framework of organized healthcare model for the purpose of protecting patient data.

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Opportunities and Challenges of Cloud Computing to Improve Health Care Services

Cited by 386 publications

References 51 publications

Understanding the determinants of Cloud Computing adoption in Saudi healthcare organisations

Understanding the determinants of Cloud Computing adoption in Saudi healthcare organisations

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

Big data for secure healthcare system: a conceptual design

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