檢體採集是護理的重要工作之ㄧ。過程中任何步驟的失誤將影響病人的診斷與治療，並增加護理人員的負擔及醫療成本浪費。本單位經現況分析後發現，檢體採集標示不正確率為0.25%，且護理人員檢體採集作業流程之執行與認知均不正確。故本專案目的為降低檢體採集標示不正確率，並提升護理人員之檢體採集作業流程執行及認知正確率。解決方案包括導入條碼科技於檢體採集作業、制訂執行標準作業流程及安排在職教育訓練。專案改善後，檢體採集標示不正確率由0.25%降至0%，檢體採集作業流程執行正確率由72.6%提升為97.3%，認知正確率由59.3%提升為95.1%，已達專案目的。透過本專案成功地將條碼科技運用於護理人員檢體採集作業，期望此專案能提供各醫療院所，推展條碼科技於檢體採集作業與其它護理作業以達資訊化之參考。

Collecting specimens is an important routine which requires zero errors during the entire procedure. Any misstep during the procedure can affect the results, and may lead to misdiagnosis and inappropriate treatment of patients. Other results include increased workloads for nurses and increased medical costs. This project was performed in a surgical ward to
investigate labeling errors during the collection of specimens. Two concerns were raised during the investigation: the rate of mislabeling specimens was as high as 0.25% and the Standard Operating Procedure (SOP) for specimen collection was not performed accurately by all nurses.Bar code technology, an updated SOP, and an on-the-job training course were implemented.With these methods, the error rates for specimen labeling and SOP execution were reduced from 0.25% to 0% and from 27.4% to 2.7%, respectively. The improvement in specimen labeling as a result of this project may serve as a stimulus for other hospitals to implement bar code
technology.