利用扩展的UTAUT检验医疗保健专业人员对电子病历系统的接受程度2

Milenia Ayukharisma Milenia Ayukharisma, Dian Budi Santoso
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引用次数: 0

摘要

本研究旨在使用扩展的 "接受和使用技术统一理论2 "模型分析北京大学穆罕默迪亚班图尔医院用户对电子病历系统的接受程度。之所以选择UTAUT 2模型,是因为它是最新的技术接受模型,是对之前存在的八个技术接受模型的统一、综合或总结。本研究的对象是北京大学穆罕默迪亚班图尔医院的员工,他们专门为门诊护理使用电子病历系统。本研究的对象是在医疗服务中使用电子病历系统的用户接受度。本研究采用问卷调查和观察法收集数据。本研究属于定量分析研究,数据分析采用描述性分析。本研究的数据处理使用了 Smart-PLS 软件 4.0 版,并进行了 SEM-PLS 数据分析。结果表明,扩展的UTAUT2模型中对用户接受度有正向显著影响的方面是性能期望(t=1.816),而努力期望(t=0.419)、社会影响(t=0.635)、便利条件(t=0.139)、享乐动机(t=0.909)、价格价值(t=.304)习惯(t=1.458)、信任(t=0.032)和感知风险(1.365)等方面对用户接受电子病历系统没有影响。性别和年龄调节变量对变量之间的关系没有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining Healthcare Profesional’s Acceptance of Electronic Medical Records System using Extended UTAUT2
This study aims to analyze user acceptance of the Electronic Medical Record system using the extended Unified Theory of Acceptance and Use Technology 2 model at PKU Muhammadiyah Bantul hospital. The UTAUT 2 model was chosen because it is the latest technology acceptance model which is a unification, synthesis, or summary of the eight pre-existing technology acceptance models. The subjects in this study were PKU Muhammadiyah Bantul hospital employees who used an electronic medical record system specifically for outpatient care. The object of this study is user acceptance of using the RME system in health services. Data collection techniques in this study are using questionnaires and observation. This research is a type of quantitative analytic research with data analysis using descriptive analysis. Data processing in this study used Smart-PLS software version 4.0 with SEM-PLS data analysis. The results showed that the aspects of the extended UTAUT2 model that had a positive and significant effect on user acceptance were performance expectancy (t=1.816), while the aspects of effort expectancy (t=0.419), social influence (t=0.635), facilitating conditions (t=0.139), hedonic motivation (t=0.909), price value (t=.304) habit (t=1.458), trust (t=0.032) and perceived risk (1.365) have no effect on user acceptance of the EMR system. Gender and age moderation variables were found to have no effect on the relationship between variables.
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