| Summary: | 碩士 === 嘉南藥理大學 === 醫務管理系 === 104 === Since 2013, according to Board of Science and Technology and the Executive Yuan, Ministry of Health and Welfare started to conduct “ Taiwan Health Cloud Plan.” It refers to “Taiwan Health Cloud” including Medical Cloud, Wellness Cloud, Care Cloud and Epidemic Cloud. Through the promotion and application, it is hoped that the cloud record the medical personal health information and treatment for each institutions. Therefore, with the aim to turn the health information back to people, the Taiwan Health Cloud provides a complete personal health records and medical treatment records. Despite its advantages, the risks present, especially for implementation and management. As the developmental stage, the first step is to find out whether the medical professional’s of medical institutions are willing to try on executing the work on cloud with strong motivation. Moreover, to avoid losing the significance of introduction to the system, the further step is to learn about their behaviors of usage and the reasons of resistance for the sake of promoting the policy effectively. According to the perspectives from Technology Acceptance Model (TAM) and Status Quo Bias (SQB), to understand medical professional’s acceptance and resistance of relevant factors, an integrated model was conducted to construct inhibitors and promoting factors with the access of medical professional to Health Cloud. A total of 253 questionnaires were distributed and total of 190 returned.The 182 valid responses constituted a response rate of 72%. The results show perceived usefulness, and perceived ease of use have significant positive influence (p<0.001) on healthcare professionals’ intention to use the health cloud. And perceived ease of use have significant positive influence (p<0.001) on healthcare professionals’ perceived usefulness of the health cloud. Regret avoidance, Inertia, switching costs, and job threat have significant positive influence (p<0.001) on healthcare professionals’ resistance to the use of the health cloud. Perceived value have significant negative influence (p<0.001) on healthcare professionals’ resistance to the use of the health cloud. The results also indicate a significant negative influence (p<0.001) in the relationship between healthcare professionals’ intention and resistance to using the health cloud.The results of the study suggest main factors, which urge users to accept, and the factors that the users resist using Health Cloud. The study is conducted with the hope that it provides government agencies, hospital administrators and software suppliers a future reference to avoid the failure of the import system and to promote policies.
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