Exploring the Effectiveness of Using E-learning Systems for Healthcare Workers

碩士 === 靜宜大學 === 資訊應用與科技管理碩士在職專班 === 106 === Medical staff is an important component to the hospital operation; it takes dedication and training to achieve certain level of professionalism and know-how. With the increasing difficulties in health care environment such as consumerism (e.g. consent form...

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Bibliographic Details
Main Authors: HUNG, HUI-SHIH, 洪惠詩
Other Authors: CHOU,WEN-KUANG
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/ustr79
Description
Summary:碩士 === 靜宜大學 === 資訊應用與科技管理碩士在職專班 === 106 === Medical staff is an important component to the hospital operation; it takes dedication and training to achieve certain level of professionalism and know-how. With the increasing difficulties in health care environment such as consumerism (e.g. consent form), medical conflict (such as the death of child caused by vaccine), and tougher health insurance system (reduced imbursement by the national health insurance), medical staff requires to regularly renew license and certificate through attending conferences or educational sessions after work to enhance the service quality. However, the effectiveness of learning was minimized due to the lack of concentration exhaustion from work. The main purpose of implementing education and training is to obtain learning results, to help medical staff improve their knowledge, skills and abilities, to promote organizational performance. Therefore, it is very important to measure employee learning outcomes. Education and training have an impact on learning outcomes. Nowadays, digital learning system becomes a more and more important learning tool; however, little research is yet to be done on the strategic planning, learning material, quality monitor, effectiveness analysis and the cause analysis on the factors that influence digital learning. This research is designed to understand the acceptance of digital learning among medical staff, to identify the effectiveness of digital learning, and to recognize factors that influence digital learning. The research is based on technology acceptance mode. We collect data by questionnaire, and analyze those data by structural equation model to identify factors that affect learning effectiveness. All the efforts are used as a reference for health care organization to plan for a more effective digital learning system. Furthermore, the results also help identifying solutions to improve the learning effectiveness among medical staff.