The Study of Autoverification for Automated Urinalysis with the Corresponding Manual Microscopic interpretations

• Main Authors: Chia-Chun Tsou, 鄒佳君
• Other Authors: Chien-Tsia Liu
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/88305546132632848910

碩士 === 臺北醫學大學 === 醫學資訊研究所 === 98 === By implementing lean in clinical laboratories, autoverification has to be more widely applied in order to improve operational efficiency. The difficulty in setting up the autoverification process is not only the need for certain hardware and data, but also which criteria should be chosen. What are valid factors in setting up the autoverification rules? The routine urinalysis, one of the widely ordered tests, including automated analysis semi-quantitative results and microscopic reading results, all the reports need to be verified case by case manually. It is difficult to design the autoverification process of semi-quantitative reports follow the rules of numeric reports like biochemical examination.