探討醫護人員對台灣健康雲抗拒與接受：以科技接受模式與現況偏好理論

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Title:	探討醫護人員對台灣健康雲抗拒與接受：以科技接受模式與現況偏好理論 An investigation medical professional’s resistance and acceptance of Taiwan health cloud: technology acceptance model and a status quo bias theory
Authors:	洪幼力
Contributors:	醫務管理系謝碧容
Keywords:	科技接受模式雙因子理論使用者抗拒健康雲雲端運算現狀偏好理論 Technology acceptance model Dual factor theory User resistance Health cloud Cloud computing Status quo bias theory
Date:	2016
Issue Date:	2016-12-21 15:34:41 (UTC+8)
Abstract:	行政院科技會報與衛生福利部於102年開始研擬「台灣健康雲計畫」，而所謂的「台灣健康雲」計畫，主要是由醫療雲、保健雲、照護雲及防疫雲集合而成的健康雲(Health Cloud)，期望透過健康雲的推廣與應用將各醫療機構的就醫紀錄與個人健康資訊串連在一起，讓民眾擁有完整的個人健康記錄與就醫記錄，以達到將個人健康資料還給民眾的目標。然而，健康雲雖有其與生俱來之優勢，但相對的也有其風險存在之隱憂，特別是在實施與管理上可能會產生極大的風險。因此，在台灣健康雲計畫發展階段，應先瞭解是否有強大的動機讓醫療院所之醫護人員願意嘗試去執行雲端作業？並從中瞭解其抗拒與使用之行為，方能使政策有效之推動，以避免失去導入該系統的意義。因此，本研究主要以「科技接受模式」(Technology Acceptance Model, TAM)結合「現狀偏好理論」(Status Quo Bias theory, SQB)之觀點，建構影響醫護人員使用健康雲的抑制因子與促進因子，瞭解醫護人員接受與抗拒的相關因素。在資料蒐集方面本研究採用問卷調查法(Questionnaire Survey)，並以結構方程模式(SEM)來驗證研究模式變數間之因果關係。因此，本研究共發出253份問卷，共回收195份，有效問卷182份，有效回收率為72%。經本研究實證結果得知，「知覺有用性」、「知覺易用性」對健康雲的「轉換意願」有正向之顯著影響(P<0.001)，而「知覺易用性」對健康雲的「知覺有用性」則有正向之顯著影響(P<0.001)，且「悔惜避免」、「慣性」、「轉換成本」、「工作威脅」對健康雲的「抗拒轉換」亦有正向之顯著影響(P<0.001)；再者「知覺價值」對健康雲的「抗拒轉換」有負向之顯著影響(P<0.001)。此外，「轉換意願」對健康雲的「抗拒轉換」之間亦有負向之顯著影響(P<0.001)。最後，本研究結果對政府機關、醫院管理者及軟體供應商而言，可瞭解那些因素可促進使用者的接受以及使用者抗拒的主要因素為何，以避免系統導入失敗的導因，並作為未來政策推動之參考依循。 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.
Relation:	網際網路公開：2021-12-31，學年度：104，132頁
Appears in Collections:	[Dept. of Hospital and Health (including master's program)] Dissertations and Theses

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