| Summary: | 碩士 === 嘉南藥理科技大學 === 醫療資訊管理研究所 === 99 === Over recent years, as information technology is introduced into hospitals on a large scale, and with rapid advancements in medical technology, hospitals have made considerable progress in the computerization of medical practice. Developed in response to the need for relief of acute pain, such as postoperative pain and severe pain in cancer patients, patient-controlled analgesia is not only an advance in the medical field, but also an important application to promote healthcare quality. One effective way to achieve patient safety is to use information technology to enhance anesthetic care functions, and medication safety, in anesthetic practice. Building and application of patient-controlled analgesia systems will therefore have a significant impact on the decision-making of anesthesiologists and nurse anesthetists in terms of medical care. Since the key to success of information-system development lies in users’ evaluation of such information technology, this study is theoretically based on the Technology Acceptance Model, and incorporates the factors that affect system use in the evaluation model, including organizational characteristics, information-system characteristics and personal characteristics, to explore acceptance of patient-controlled analgesia systems from the user’s perspective. In a questionnaire survey to collect data from anesthesiologists and nurse anesthetists in case hospitals, 123 copies of questionnaires were distributed and 112 copies were obtained, indicating a valid response rate of 91.0%. Following confirmatory factor analysis of these data by using PLS, the research results show that information quality and computers’ self-efficacy have a significant impact on perceived usefulness; information quality and computers’ self-efficacy have a significant impact on perceived ease of use; perceived ease of use and perceived usefulness have a significant impact on system acceptance of anesthesiologists and nurse anesthetists (R2=0.6556). These results enable managers to understand important considerations for anesthesiologists and nurse anesthetists in accepting patient-controlled analgesia systems.
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