Dialogue with international authorities: listen Dr. Sten Westgard Some opinions on special courses

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Sten Westgard Introduction to Professor's Lecture Content

4 Comparison of the advantages and disadvantages of patient data quality control calculation techniques

Sten Westgard Professor's presentation MA Quality control chart, MA Quality control setting method and out of control correction process
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My thoughts
The best method is the compromise moving average method (MA law) Or
Difficult professional skills EWMA law?
only use 3SD control limit?
IFCC Yu 2019 Year and 2020 The guidance document published in the year proposes real-time quality control based on patient data ( patient based realtime quality control , PBRTQC) It is a method of utilizing patient test results in real-time, Quality control methods for analyzing performance in continuous monitoring and testing processes. Numerous studies have shown that, PBRTQC Compared with traditional quality control methods, it has lower cost, No matrix effect, Can be dynamically monitored, Advantages such as sensitivity to identify errors before analysis. With the development of information technology and clinical research, PBRTQC Multiple computational programs have been developed, including BULL law, AON law, MA law, Percentile method, Median method and EWMA Law, etc.
Sten Westgard The professor mentioned in class:

and PBRTQC Professional software tools -
Senxu Medical Patient Data Real time Quality Control Intelligent Monitoring Platform (AI-MA) Across the country 16 Medical institutions of different scales and levels, 6 A professional field, 13 A brand, 36 model number, 65 Taiwan Inspection System, 110 A testing item, Experience and Results of Multi Center Clinical Practice Research on Patient Big Data Performance Validation, ( "based on AI Real time quality control of real-world patient data PBRTQC Multi center clinical research" , Wen Dongmei, Shanghai Senxu Medical)
right PBRTQC middle MA Law and EWMA The quality control effectiveness of the method in identifying quality risks and analyzing performance changes was compared.
We have selected Professor Wang Xuefeng from Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Professor Li Guixia from Hebei Children's Hospital for the intelligent construction team AI-MA Elaborate on two research cases of real-world big data.

Professor Wang Xuefeng from Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&Senxu Medical Intelligence Construction Team AI-MA Clinical application site

Professor Li Guixia from Hebei Children's Hospital&Senxu Medical Intelligence Construction Team AI-MA Clinical application site
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Two cases
1, MA False negative cases
(1) Choose Senxu Medical AI-MA of EWMA, Z Score chart calculation program and intelligent quality control rules, Regarding Hisen Meikang XN1000 Blood cell analyzer RBC and HGB Patient data for the project (n=31853) Conduct analysis.
The results show, Analyze the performance of the detection system from 5 moon 11 Negative bias begins to appear on the day, And in 6 moon 14 Daily correction, See figure 8, According to the laboratory's on-site quality records and instrument alarm information display, 6 moon 13 day XN1000 The blood cell analysis instrument has triggered an alarm, Insufficient sample size for alarm, And automatically stop detecting samples, Laboratory in 6 moon 13 Replace the sample probe in the afternoon, 14 The instrument has resumed normal testing. AI-MA of EWMA The program canNearly before the fault alarm 1 monthChanges in recognition and warning analysis performance, And the warning elimination time is completely consistent with the time node for replacing the sample probe in the laboratory. Transitioning from traditional instrument alarm correction to real-time monitoring, early warning!

Senxu Medical AI-MA Intelligent monitoring platform RBC of EWMA Quality control chart, RBC& HGB Z Score chart (EWMA law)
remark: The green dot is RBC Patient testing results; The purple dot is HGB Patient testing results; The yellow dots are the detection results of patients with negative bias and analysis error warnings caused by changes in analysis performance by the system.

Same group of patients RBC& HGB The test results MA Quality control chart (MA law)


picture 8-A Senxu Medical AI-MA Intelligent monitoring platform for patient data ALT of MA Quality control chart
picture 8-B Senxu Medical AI-MA Intelligent monitoring platform for patient data ALT of EWMA Quality control chart&quality control material L-J Graph integration Z Score chart
remark: The blue-green dots represent the patient's test results MA Value and EWMA value; The triangle symbol represents height, middle, Low concentration level quality control product testing results; Yellow dots are warning points, The red dot is the point of loss of control
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summary
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Outlook and Reflections
Sincere thanks for participating "China's first based AI Real time quality control of real-world patient data PBRTQC Multi center clinical research" 16 The valuable research platform provided by home medical institutions, For the domestic market PBRTQC Provide rich professional practical experience in application and implementation!






