关键词: 静脉血, 标本采集, 智能管理系统, 功能开发, 临床应用

Abstract:

Objective To achieve the automation and intellectualization of venous blood collection and sorting by developing and setting the functions of the blood collection management system. Methods According to the main steps in the pre-collection，collection and post-collection of venous blood，the functions of a newly introduced blood collection management system were developed and set. The changes of patients' data before and after intelligent development were analyzed. Results The functions of blood collection appointment，generation and intelligent allocation of different types of blood collection queue，patient call and patient information acquisition，blood tube selection and labeling，sample scanning and collection time generation，and sample recovery and sorting were achieved in the management system. The 87.06% and 89.78% of patients took self-service in 2020 and 2021，respectively. The proportions of regular collection were 65.11% and 65.12%，the scheduled collection proportions were 29.84% and 29.40%，and the fast-track collection proportions were 5.06% and 5.48%，respectively. The proportions were almost the same between the past 2 years. The appointment in the 7：00-8：00 was the most in 2020 and 2021，reaching 95.00% and 93.75% of the capacity，close to the saturation point. In 2020 and 2021，the proportions of waiting time ≤20 min were 77.94% and 57.02%，the waiting time ≤60 min reached 97.55% and 93.36%，respectively. In 2020 and 2021，the proportions of patients who completed blood collection within 5 min reached 90.17% and 90.57%，respectively. In 2021，the peak period of blood collection on weekdays was shortened by 1 h compared with that in 2018 when the intelligent blood collection management system had not been introduced. Conclusions The intelligent rules in the blood collection management system work well. It has complete functions to realize blood collection appointment，reduce the waiting time and improve the work efficiency of venous blood collection.

Key words: Venous blood, Sample collection, Intelligent management system, Function development, Clinical application