疾病診斷資訊系統改善影響因素：任務科技適配理論觀點

An Empirical Investigation of Factors Influencing the Improvement of Computer-Aided Diagnostic Systems: The Task-Technology Fit Perspective

本研究之主要目的為探討醫療人員所使用疾病診斷資訊系統功能是否符合其工作需求，亦即找出醫療人員所認知疾病診斷資訊系統與其診斷工作是否適配的影響因素，以及兩者間之適配是否能改善醫療人員在疾病診斷之績效。透過問卷調查法針對南部某區域醫院主治醫師、住院醫師與專科護理師總共蒐集60份有效資料，資料分析結果顯示個案醫院疾病診斷資訊系統特性，包含介面品質（p＜.001）與資訊品質（p＜.01），正向顯著預測疾病診斷資訊系統與疾病診斷工作間的適配，而任務科技適配亦分別正向顯著預測醫療人員的績效期望（p＜.001）與心力期望（p＜.001）。依據研究結果，建議個案醫院可持續加強醫療人員在國際疾病編碼規則的教育訓練；此外，亦須提高疾病診斷資訊系統介面的親和力以及改善所提供疾病診斷資訊的品質，如此將可提升個案醫院疾病診斷資訊系統與疾病診斷工作的適配程度，進而更提高醫療人員進行疾病診斷的工作效率與效能。

The goal of this study was to explore whether computer-aided diagnostic systems could fulfill the task requirements of healthcare professionals. More precisely, the study aimed to find out factors, if any, that would influence the improvement of fit between such computer-aided systems and the diagnostic tasks of healthcare professionals. Furthermore, whether task-technology fit would improve the performance of diagnostic tasks of healthcare professionals was also to be verified. A questionnaire was designed and distributed which allowed us to collect 60 effective responses from the attending physicians, resident physicians, and physician assistants, all working at a regional hospital in southern Taiwan. The results of the response analysis showed that the technology characteristics of diagnostic systems including interface quality (p＜.001) and information quality (p＜.01) significantly predicted the fit between the computer-aided systems and the diagnostic tasks, respectively. And the fit between the systems and the tasks, in turn, significantly predicted the healthcare professionals’ performance expectancy (p＜.001) and effort expectancy (p＜.001), respectively. Based on our results, it is suggested that the subject hospital can provide their healthcare professionals with continuous educational training concerning the coding rules of international disease classification. Moreover, the subject hospital can improve the friendliness of user interface and the quality of information provided by the diagnostic systems. In this regard, the fit between the computer-aided systems and diagnostic tasks can be much improved, and the effectiveness and efficiency of the diagnostic tasks of those healthcare professionals can thus be greatly enhanced.