检验医学 ›› 2024, Vol. 39 ›› Issue (1): 95-99.DOI: 10.3969/j.issn.1673-8640.2024.01.017

• 综述与讲座 • 上一篇    下一篇

临床血液体液检验同质化管理和实践

蒋浩琴, 徐倩倩, 徐黎明, 关明()   

  1. 复旦大学附属华山医院检验医学科,上海 200040
  • 收稿日期:2022-09-30 修回日期:2023-11-12 出版日期:2024-01-30 发布日期:2024-03-04
  • 通讯作者: 关明,E-mail:guanming88@126.com
  • 作者简介:蒋浩琴,女,1982年生,博士,副主任技师,主要从事临床血液体液形态学与脑脊液检验新技术研究。
  • 基金资助:
    上海市临床重点专科项目(shslczdzk03303);上海市青年医学人才类-临床检验项目(SHWRS(2020)_087)

Homogenization management and practice of clinical blood and body fluid determinations

JIANG Haoqin, XU Qianqian, XU Liming, GUAN Ming()   

  1. Department of Clinical Laboratory,Huashan Hospital,Fudan University,Shanghai 200040,China
  • Received:2022-09-30 Revised:2023-11-12 Online:2024-01-30 Published:2024-03-04

摘要:

医学检验结果同质化管理是实现检验结果互认的基础,也是促进医疗服务共享机制、增强医疗机构协同性的重要举措。疾病变化的复杂性和时效性,检测设备性能和检测流程质量管理的差异性,形态学检验的难点等问题使同质化管理在实施过程中可能存在一系列医疗风险。通过对检测前、中、后各阶段中可能存在的主要问题进行分析,及时采取预防措施,可降低或消除影响血液体液检验同质化的风险。文章结合复旦大学附属华山医院基于专业特色充分利用人工智能,对不同医疗机构和同一医疗机构多院区同质化管理的实践进行阐述和分析。

关键词: 形态学检验, 人工智能, 同质化, 结果互认, 临床实践

Abstract:

The homogenization management of medical determination results is a basis for achieving mutual recognition of determination results and an important initiative to promote the sharing mechanism of medical services and enhance synergy among medical institutions. Due to the complexity and timeliness of disease changes,the differences in the performance of determination equipment and quality management of determination processes,as well as the difficulties of morphological determination,a series of medical risks may be brought about during the implementation of homogenization management. By analyzing the main problems that may exist in the pre-,mid- and post-analysis phases and the impact on determination results,preventive measures are analyzed to reduce or eliminate the risk factors affecting the homogenization of blood and body fluid. Combined with the professional characteristic technology,the clinical classic case practice of homogenization management in different medical institutions and multi-hospital areas is elaborated and analyzed.

Key words: Morphology determination, Artificial intelligence, Homogenization, Result mutual recognition, Clinical practice

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