PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 19, 20260 citations

医院检验科的质量控制现状及流程优化(The current situation of quality control and process optimization in the hospital's laboratory department)

View Full Paper
耿G耿亚菲 Yafei Geng

Key Points

  • The research aims to assess the value of optimizing quality control processes in clinical laboratories.
  • Established data screening criteria for quality control data collection
  • Utilized a self-controlled study design for longitudinal comparison
  • Analyzed quality indicators before and after implementing an intelligent control system
  • Monthly quality control bias rate decreased from 3.72 to 2.16
  • Monthly out-of-control rate dropped from 12.3 to 4.7
  • Average daily quality control alerts reduced from 3.1 to 1.2
  • All improvements in quality control indicators were statistically significant (p<0.05)

Abstract

Abstract:objective: This study aims to deeply explore the application value and implementation effect of optimizing the indoor quality control process in the clinical laboratory department. By establishing strict data screening criteria,the complete quality control data of the laboratory department of our hospital from July 2024 to December 2024 was systematically collected. A self-controlled study design was adopted to conduct longitudinal comparative analyses of key quality indicators in the traditional manual quality control stage and the stage with the intelligent quality control system built into the instrument. Result: After the implementation of the quality control process optimization technology,the quality control level of the laboratory has been significantly improved. Specifically,the monthly quality control bias rate has dropped from(3.72±0.44)in the baseline period to(2.16±0.29),and the monthly out-of-control rate has decreased from(12.3±2.1)to(4.7±1.3). Meanwhile,the average daily number of quality control alerts decreased from(3.1±1.0)to(1.2±0.5),and the improvements in all indicators were statistically significant(p<0.05). The results show that the new indoor quality control technology,through functions such as automated monitoring,real-time early warning,and intelligent analysis,effectively optimizes the detection process architecture,significantly improves the quality control efficiency by approximately(specific percentage)and the accuracy of the results by approximately(specific percentage),and while reducing manual operation errors,enhances the quality management level of the laboratory.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

耿亚菲 Yafei Geng (2026) studied this question.

synapsesocial.com/papers/69e4734c010ef96374d8f133https://doi.org/10.66106/swcabp.20260105
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1全程质控管理在生化检验中的应用价值分析(Analysis of the Application Value of Full-process Quality Control Management in Biochemical Testing)2025
  2. 2Application of Sigma Metric and TOPSIS Method to Comprehensively Analyze 15 Quality Indicators in Clinical Laboratory from 2019 Through 20242026
  3. 3A-213 Highlights on Daily Internal Quality Controls for Improved Analytical Performance in Clinical Laboratory2025
  4. 4Evaluation of the BT ‐50 Automatic Quality Control Unit on the XN9000 Hematology Analyzer2026
  5. 5A-212 Innovation in Quality Management: The use of Intelligent automation with a focus on safety and efficiency in an Argentine Laboratory2025