based on AI of PBRTQC Research on the Application of Intelligent Early Warning in Detecting System Stability

2022-10-22 1486

In recent years, With automation, The development of intelligence, Pushing the field of laboratory medicine into the era of intelligence. Domestic authoritative magazine "clinical laboratory" 2022 Year's Day 8 Launch period "Laboratory Automation, digitalization, intelligentization" special issue, Bring automation to readers, informatization, digitalization, Progress in the Application and Practice of Intelligent Technology in Clinical Laboratories.
International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) The Analysis Quality Committee established under it 2020 The guidance document published in the year pointed out that: Real time quality control based on patient data (patient based real time quality control, PBRTQC) It is a method of using patient data in real-time, Quality control methods for analyzing performance in continuous monitoring and testing processes, 2020 year IFCC It is recommended to PBRTQC Widely used in clinical practice, But domestic clinical laboratories have limitations on PBRTQC There is still a significant gap between cognition and application, internationally PBRTQC Program establishment, Performance validation and optimization mainly use simple statistical models and computer simulation methods, Badrick Waiting for suggestions PBRTQC Performance validation and applicationWe should develop from traditional statistical methods to artificial intelligence methods.
"clinical laboratory" 2022 Year's Day 8 Intelligent Special Issue Setting "Research on Real time Quality Control of Patient Data" column, Professor Zeng Fangyin, Vice President of the Fifth Affiliated Hospital of Southern Medical University, and his team shared their insights "based on AI Application research of real-time quality control method for patient data in the establishment of intelligent early warning platform for detection system stability" research results, This study is based on the development of artificial intelligence technology PBRTQC Research on the clinical application of real-time online intelligent monitoring platform for quality risk identification and management in the field of monitoring chemiluminescence testing. Moreover, Evaluation based on AI of PBRTQC Multi parameter models and traditional methods PBRTQC Comparison of quality control performance such as sensitivity and specificity of models in identifying quality errors in the real world. The full text is detailed below:



Introduction to Professor Zeng Fangyin's Team


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Zeng Fangyin, Doctor of Medicine (MD) , Chief Technician, Associate Professor. Current Vice President of the Fifth Affiliated Hospital of Southern Medical University

China National Accreditation Service for Conformity Assessment ISO15189 Medical Laboratory Accreditation Reviewer, Standing Committee Member of the Laboratory Branch of the Chinese Geriatric Society, Vice Chairman of Guangdong Inspection Branch of Chinese Medical Association, Vice Chairman of the Inspection Branch of Guangdong Medical Industry Association, Vice Chairman of the Laboratory Branch of Guangdong Hepatology Society, Vice Chairman of the Inspection Branch of Guangdong Health Association, Executive Committee Member of the Laboratory Branch of Guangdong Medical Association, Leader of the Clinical Biochemistry Expert Group of Guangdong Inspection Society. Publish academic papers as first author or corresponding author 50 remaining articles; editor-in-chief/Deputy Editor-in-Chief "Clinical Biochemical Laboratory Diagnosis" Waiting for monographs 3 ministry, Deputy Editor-in-Chief/co-author "Clinical Biochemical Testing" Waiting for the National Unified Textbook 7 ministry; Received Teaching Achievement Award 4 item; Hosted by the National Natural Science Foundation of China, Guangdong Provincial Natural Science Foundation, Guangdong Province Science and Technology Plan Project, Research on multiple projects including Guangzhou Science and Technology Plan.


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Li Xiaoyan, Doctor of Medicine (MD) , Associate Chief Technologist. Current Director of the Department of Laboratory Medicine at the Fifth Affiliated Hospital of Southern Medical University

Executive Committee Member of the Laboratory Branch of Guangdong Hepatology Society, Executive Committee Member of the Inspection Branch of Guangdong Health Association, Executive Committee Member of the Specialized Management Committee of Guangdong Medical Industry Association, Executive Committee Member of the Laboratory Medicine Professional Committee of Guangdong Health Management Society, Executive Committee Member of the Medical Laboratory Professional Committee of Guangdong Chest Disease Society, Member of the Laboratory Branch of Guangdong Medical Association, Member of the First Youth Committee of the Medical Microbiology and Immunology Professional Committee of the Chinese Society of Microbiology. National Natural Science Foundation of China Youth Fund Evaluation Expert, Hosted by the National Natural Science Foundation of China 1 item, Participate in the National Natural Science Foundation's general project 2 item, Hosted Guangdong Provincial Medical Fund, Guangzhou Education Bureau Youth Fund, Foshan Science and Technology Bureau Medical Fund Project 3 item, publish SCI More than ten papers and core journal articles.

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Cai Haili, Senior Technician, Bachelor of Medicine. Current Quality Manager of the Laboratory Department of the Fifth Affiliated Hospital of Southern Medical University

Main research areas: Clinical laboratory quality control, Data mining of tumor biomarker related indicators. Received the Excellent Inspection Case Excellence Award organized by the Guangdong Medical Examiner Association, Guangdong Medical Association holds second prize in tumor case competition, Participate in Guangdong Provincial Project 1 item.







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note: Article reprinted from: "clinical laboratory" 2022 Year's Day 8 period "Laboratory Automation, digitalization, intelligentization" special issue