智能卡技术在南非公立医院成功的关键因素

L. Malungana, Lovemore Motsi
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引用次数: 1

摘要

背景:尽管政府制定了几个令人钦佩的提高医疗保健水平的目标,正如社区和媒体报道所强调的那样,公共卫生机构的服务仍然无法满足患者的期望和基本的护理标准。由于这个原因,公众对医疗保健系统失去了信心。南非的公共医疗保健系统完全功能失调,迫切需要进行改革,以服务于大多数使用公立医院的人。目的:本研究旨在通过调查影响南非公立医院采用智能卡技术(SCT)的关键成功因素(csf),改善大多数南非人的医疗保健。方法:对同行评议的文献进行全面的回顾,以确定采用SCT的潜在障碍。此外,将开发、验证和测试结合卫生统一技术接受理论(HUTAUT)模型、DeLone和McLean IS成功模型(DM)和创新扩散(DOI)理论的混合模型,以确定南非公立医院的csf采用SCT的情况。结果:该研究模型已被公立医院护士所采用。结论:这项研究将有助于制定一个新的框架,确定南非公立医院采用SCT的csf。贡献:该研究的结果将对卫生信息学领域的知识体系做出特殊贡献,特别是电子卫生。
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Critical success factors of smart card technology in South African public hospitals
Background: Even though the government has set several admirable targets for raising the standard of healthcare, as highlighted by communities and media reports, public health institutions’ services continue to fall short of patients’ expectations and basic standards of care. For this reason, the general public has lost faith in the healthcare system. The public healthcare system in South Africa is completely dysfunctional and urgently needs to be transformed to serve the majority of those who use public hospitals.Objectives: The study aimed to improve healthcare for the majority of South Africans by investigating the critical success factors (CSFs) that influence the adoption of smart card technology (SCT) in South African public hospitals.Methods: A thorough review of peer-reviewed literature was conducted to determine potential barriers to adopting SCT. Furthermore, a hybrid model that combines the Health Unified Technology of Acceptance Theory (HUTAUT) model, DeLone and McLean IS success model (DM) and the diffusion of innovation (DOI) theory will be developed, validated and tested to identify the CSFs adoption of SCT in public hospitals in South Africa.Results: The validated research model has been developed to be adopted by nurses at public hospitals.Conclusion: This research will contribute to the development of a new framework that identifies the CSFs for SCT adoption in South African public hospitals.Contribution: The study’s results will make a special contribution to the body of knowledge in the fields of health informatics, particularly e-health.
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