| Summary: | 碩士 === 國立雲林科技大學 === 工業工程與管理系 === 103 === The current order entry system for X-rays is based on the input of characters and numbers. In a fast-paced, stressful and often short-staffed workplace like the emergency department, this input method is prone to errors, leading to incorrect or unnecessary X-ray scans that could cause a chain reaction in the resultant processes of medical treatment. Clinical observations showed that right-left reversal, incorrect targets and unnecessary repeats to be the three most commonplace mistakes. To tackle these, the case hospital introduced a graphical input interface to the X-ray order entry system at its emergency department to replace the previous method of keying in reference codes. With the aim to improve the accuracy rate of X-ray ordering, this system optimization was somehow met with limited successes.
To find out the reasons, this research helped the case hospital assess the efficacy of the X-ray order entry system. Experimental methods and questionnaire survey were used to explore emergency practitioners’ evaluation of the system. Based on the cognitive fit theory and task-technology fit theory, the experiments collected data of system users’ objective opinions, which offers the basis of the survey’s questionnaire design. The survey then asked subjective feedback from the users. Combination of an objective evaluation via experiments and subjective one via questionnaire helped improve the completeness of results and the study’s impact factor.
The cognitive fit analysis revealed that the graphical interface for X-ray order entry was perceived as suitable with users recognizing its higher efficiency. Questionnaire data analyses confirmed the overall explanatory power up to 73%. Technology characteristics have an effect on the task-technology fit, which subsequently influences work efficiency. Task-technology fit have significant positively effect on utilization and usability. Facilitating conditions have significant positively effect on utilization. Usability have significant positively effect on performance. The research advises hospital managers to learn from user feedback about the effectiveness of the system and use such knowledge as the reference for the system’s wider applications, function modification and future updates.
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