信息系统成功模型和技术接受模型对专科医生在住院部使用电子病历行为意愿的影响

Julita D. L. Nainggolan, Duta Liana, None Hosizah
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引用次数: 0

摘要

技术发展的加速影响着医院内部信息系统的管理,特别是电子病历(EMR)的使用。使用电子病历的行为意愿是关键因素,用户角色是电子病历成功实施的关键之一。本研究旨在分析专科医生使用住院电子病历行为意愿的影响因素。数据采用李克特量表通过问卷调查获得,数据分析采用结构方程模型(SEM)进行。采用横断面设计的定量分析研究方法,共抽样144名专家。在144名受访者中,大多数为男性(59%),年龄在40-50岁之间(30.6%),工作年限超过20年(25.7%)。假设分析发现,系统和信息质量对感知易用性和有用性有影响。系统质量、感知易用性和有用性影响行为意愿,而信息质量没有影响,但通过感知易用性和有用性间接影响行为意愿。服务质量对感知易用性、感知有用性和行为意向没有影响。感知有用性对住院病人使用电子病历的行为意向影响最大。作为本研究的一个启示,我们发现有必要在可靠性和连通性方面对住院电子病历系统进行优化。
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The Influence of the Information System Success Model and the Technology Acceptance Model on the Behavioral Intention of Specialist Doctors to use Electronic Medical Records For Inpatient Care Unit
The acceleration of technological developments affects the management of information systems within the hospital, especially in using of Electronic Medical Records (EMR). Behavioral intention to use EMR is the essential factor, the role of user is one of the keys to successful EMR implementation. This study aims to analyze the factors that influence behavioral intention of specialist doctors to use inpatient EMR. Data were obtained through questionnaires using the Likert measuring scale and data analysis was processed using SEM (Structural Equation Modelling). Quantitative analytical research method with cross-sectional design using a total sampling of 144 specialists. Of the total 144 respondents, the majority of respondents were male (59%), aged 40-50 years (30.6%) and had a working period of more than 20 years (25.7%). Hypothesis analysis found that there was an effect of system and information quality on perceived ease of use and usefulness. System quality, perceived ease of use and usefulness influence behavioral intention, while information quality has no effect, but indirectly influences behavioral intention through perceived ease of use and usefulness. Service quality has no effect on perceived ease of use, perceived usefulness, and behavioral intention. Perceived usefulness has the greatest influence on behavioral intentions to use inpatient EMR. As an implication of this study, it was found that it is necessary to optimize the inpatient EMR system in the aspects of reliability and connectivity.
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