中文简体"Clinical laboratory" Magazine column publication PBRTQC Innovative research achievements!
8 Monthly Intelligent Special Issue "Clinical laboratory" The magazine is affiliated with Beijing Directional Point Gold Technology Co. , Ltd, The magazine is a monthly publication, launch 14 over the years, This journal tracks international and domestic development trends in real-time, rich in content, Innovative and detailed application results, wide coverage, Provided good guidance and reference for the development of clinical laboratories, Deeply influenced by the field of laboratory medicine in China IVD High praise from professional technical personnel and readers of R&D and production enterprises. Precision delivery and distribution of print journals 30000 volume/each issue, Annual total readership exceeds 430 Over ten thousand people/year, The total amount of multimedia reading exceeds 1270 Over ten thousand people/year.
Authoritative magazine in the inspection industry "Clinical laboratory" Recently launched 8 Monthly Intelligent Special Issue, Specially set up"Real time quality control"column. This column published a compiled article "IFCC: PBRTQC Performance validation suggestions" Multiple large medical institutions across the country are utilizing medical big data mining, Artificial Intelligence Technology for Real World Big Data in Clinical Laboratories PBRTQC Innovative research achievements in performance verification, Demonstrated the significant clinical value of big data mining in the field of medical laboratory testing for quality risk monitoring and management.
In relevant professional journals in China, setting"Real time quality control"Column publishes the latest international news PBRTQC Performance suggestion document, Research progress at home and abroad and the validation of real-world big data performance in clinical laboratories in Chinaseries PBRTQC Special issue report, To promote PBRTQC Cognition in domestic clinical laboratories, accept, Borrowing and widely applying is of great significance.
except IFCC The translation, The other articles are all based on the real-time quality control platform of Senxu Medical patient data (AI-MA) Innovative research achievements in big data performance verification, among which 2 The article appears on the cover.
Real time quality control based on patient data
PBRTQC Introduction
International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) The Quality Analysis Committee 2019 and 2020 The guidance documents published in successive years indicate that, Real time quality control based on patient data ( patient based real time quality control , PBRTQC ) It is a method of using patient clinical specimen testing results in real-time, Quality control methods for analyzing performance in continuous monitoring and testing processes. including AON law, BULL law, Moving median method, MA Law and EWMA Various computational techniques such as law, Compared with traditional quality control methods, it has many advantages, It is an effective supplementary method to patient risk based quality control strategies and indoor quality control methods for quality control products.
"Clinical laboratory" magazine 8 Cover of the monthly intelligent special issue
"Clinical laboratory" magazine 8 Monthly Intelligent Special Issue Catalog
"Clinical laboratory" 8 Responsible editor for the monthly intelligent special issue, Leader of the Laboratory Science Department at the Fifth Medical Center of the People's Liberation Army General Hospital, "National Clinical Key Specialized Military Construction Department" And the military "Discipline Leader of Clinical Laboratory Diagnosis Center for Infectious Diseases" , Professor Mao Yuanli, Chairman of the Laboratory Medicine Branch of the Second Chinese Geriatric SocietyIn the expert review, it is pointed out that: "Clinical laboratory laboratory laboratory testing medicine transitions from informatization to digitization, intelligentization, Great strides forward in the era of intelligence, Building a big data platform based on real data is the future AI The key to application development, Should be based on national development policy planning and technological development trends, Combining the actual pain points and needs of clinical laboratories, High standard quality management requirements, Planning medical testing AI Development Strategy of Big Data Mining. Identify and analyze quality risks throughout the entire process, reduce costs, Improve the experience of inspectors and managers. Realizing a people-centered approach to intelligent testing and innovative development is the main direction for future development. "
"Clinical laboratory" Expert Review of Professor Mao Yuanli in the Magazine
this issue "Real time quality control" The column translated the International Federation of Clinical Chemistry and Laboratory Medicine for readers (IFCC) The Medical Committee for Quality Inspection and AnalysisYu 2020 Published annually "Suggestions for performance validation of real-time quality control based on patient data" Guidance document. Based on patient big data in clinical laboratory practice PBRTQC Provide guidance for program establishment and performance verification, Enhance confidence in applying this method.
Compiled by Ben Wenrui ; Professor Mao Yuanli, The document reviewed by Wen Dongmei "IFCC: PBRTQC Performance validation suggestions"
Professor Zheng Lei's team from Southern Hospital of Southern Medical University shared their independent research based on medical big data mining and artificial intelligence technology development PBRTQC Professional intelligent software tools and real-world patient big data, conduct PBRTQC in 5 Research results on the clinical application value of quality risk identification and management in a professional field. Including various types PBRTQC Establishment of Method Intelligent Computing Model, Validation of Identification Efficiency for Positive and Negative Bias Error Results in Two Directions, Intelligent quality control rules and traditional methods Westgard Rules for PBRTQC Innovative research content such as comparison of quality control effectiveness, For clinical laboratories PBRTQC The establishment and implementation provide important practical experience and guidance significance.
"Clinical laboratory" The article about Professor Zheng Lei's team published in the magazine PBRTQC Real Big Data Research Papers
The team led by Wen Dongmei, Chief Product Officer of Shanghai Senxu Medical Technology, shared international authoritative quality control experts Dr. Sten Westgard The content of the lecture on patient mobility, Opinions and Suggestions, And based on the team's original design and development PBRTQC Professional intelligent software tools AI-MA Rich practical experience in verifying real-world big data performance across multiple centers nationwide, Present different viewpoints.
at the same time, right PBRTQC Operation type, Clinical application value, EWMA Law and MA Comparative analysis of the effectiveness of quality control methods, Share research progress and other content both domestically and internationally, Among them, Professor Wang Xuefeng was shared, Professor Li Guixia, Professor Gong Qian's team is based on AI-MA Integrating real-world patient big data into clinical biochemistry, Research results on the consistency of results between clinical blood and regional laboratory testing centers, To promote PBRTQC Cognition in domestic clinical laboratories, accept, Learn from and widely apply.
"Clinical laboratory" Professor Wang Xuefeng published in the magazine, Professor Li Guixia and Professor Gong Qian's team PBRTQC Real Big Data Research Results
Professor Wang Xuefeng from Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&Senxu Medical—Smart Construction Team AI-MA Clinical application site
Professor Li Guixia from Hebei Children's Hospital&Senxu Medical--Smart Construction Team AI-MA Clinical application site
Professor Gong Qian's team from Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University shared patient data PBRTQC Intelligent monitoring and inter laboratory comparison cloud platform for Fudan University Affiliated Zhongshan Hospital Qingpu Branch and Regional Testing Center 8 Blood cell analysis at home community health service center 8 Research results on inter laboratory comparison of routine projects and real-time intelligent monitoring of performance changes in each laboratory's own analysis.
The results show that based on patient data PBRTQC Real time inter laboratory comparison and intelligent statistical analysis, Reduce labor cost investment, Addressing the issue of matrix effects in quality control products, Assist in the intelligent construction of regional inspection centers, Promote the homogenization of medical development at all levels and mutual recognition of test results.
Professor Gong Qian from Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Medical Big Data Mining Intelligent Construction Team
Professor Hu Zhengjun's team from Zhejiang Provincial Hospital of Traditional Chinese Medicine shared patient data PBRTQC Law and Traditional Internal Quality Control Products QC Clinical application research results of monitoring the analytical performance of chemiluminescence detection system using the method. The results show PBRTQC Can identify improper selection of quality control products, No matrix effect, Can truly reflect the analytical performance of the detection system, Can compensate for the narrow detection range of quality control products, Multi concentration combination, Sensitivity reflects changes in the accuracy and performance of the detection system, Continuously monitor and test the real performance changes of the system during the batch number replacement of indoor quality control products.
"Clinical laboratory" Professor Hu Zhengjun's team published in the magazine PBRTQC Real Big Data Research Results
Big data mining and intelligent scientific research in laboratory medicinedifficulty
The research level of the hospital, Technological achievements are not only important indicators for measuring the medical and academic level of a modern hospital, It also concerns the promotion needs of the inspectors themselves. but, China's medical resources are tight, Heavy workload for inspectors, There is very little energy and time that can be invested in scientific research.
The value of medical big data lies in its application, The breakthrough point of the application lies in data mining, The bottleneck of data mining lies in the techniques and methods of data mining, Only through data mining can new knowledge be discovered, The goal of creating new value. butClinical laboratories possess massive amounts of laboratory medical big data" gold mine "But difficult to excavate, Mainly due to the lack of mining tools and methods, Therefore, Need to be strong, Practical innovative medical big data mining research auxiliary tool, Integrating scientific research with clinical applications closely, Promote hospital research output, Thus achieving "Smart research" .
Senxu Medical Assistance
Big data mining and intelligent scientific research in laboratory medicine
Shanghai Senxu Medical Technology Co. , Ltd. sets sail with mission, Targeting clinical pain points and needs, uphold "people-centered, Aggregate artificial intelligence, Empowering clinical laboratories, quality improvement, synergy, To safeguard the lives of patients" the concept of, According to domestic and international industry standards, application AI+5G, Innovative technologies such as medical big data mining focus on developing professional clinical laboratory intelligent and intelligent construction solutions.
at the same time, Empowering Medical Clinical Research with New Technologies, Accelerate the output of scientific research results. Assist in improving the level of clinical research in China, Produce high-quality clinical research results.
Patient data real-time quality control intelligent monitoring platform developed by Senxu Medical (AI-MA) It is a real-time continuous monitoring of the performance and quality risks of the entire analysis process using patient results, recognize, Early Warning and Quality Management PBRTQC Professional intelligent management software tool. Development based on artificial intelligence and medical big data analysis technology, Modeling based on international quality control management theory and authoritative statistical methods of national industry standards, conform to IFCC concerning PBRTQC The functional characteristics of professional software tools, Program establishment, Technical requirements for implementation and operation. Regarding quality control products QC Combination of Law, Provide professional services for clinical laboratories PBRTQC design, verification, choice, Efficiency evaluation, implement, Optimization and comprehensive quality control strategy (TQC) Overall solution, is PBRTQC Professional software intelligent management tools and a new visual quality risk intelligent management tool.
AI-MA How powerful is it?
first, Based on medical big data mining, Artificial intelligence technology and real-time computing process and model massive amounts of data, Real time monitoring of potential quality risks throughout the analysis process using medical laboratory big data, Identification and intelligent warning, It is a visual quality risk intelligent management tool.
second, On the premise of ensuring the privacy and security of patient data, Based on big data mining, Artificial intelligence technology and real-time computing efficiently collect massive amounts of inspection data, storage, handle, modeling, Analysis and intelligent warning, Provide real-time support for clinical laboratories, continuous, Visual whole process quality risk management tool, Ensure patient medical safety, Assist clinical laboratories in improving management efficiency and research conversion rate.
third, Differences in professional level among balanced inspectors, Improve the efficiency of clinical laboratory quality management, Ensure the accuracy and timeliness of inspection results, Enhance service capability, For doctors, patient, Clinical laboratory managers and staff provide personalized intelligent services and management experience.
fourth, Medical big data is the driving force behind the development of the medical field AI the foundation, Real world clinical data can reflect the actual clinical practice situation, Helps promote the progress of precision medicine. nationwide 25 Medical institutions of different scales and levels, 6 A professional field, 16 A brand, 39 model number, 74 Taiwan Inspection System, 110 A testing item, 3127. 54 Multi center big data performance verification for real-world testing results PBRTQC The performance verification research results also fully demonstrate the innovation of this platform technology , professionalism, Sensitivity and specificity.
2021 year 7 moon 16 day, Senxu Medical AI-MA National multi center big data PBRTQC Performance verification paper "based on AI Real time quality control of real-world patient data PBRTQC Multi center clinical research" Awarded the 7th National Conference on Laboratory Medicine Technology and Application (CCLTA 2021) conference "New Industry Cup" Third Prize in Hospital Group, Submitted from across the country 1052 Stand out among papers, Ranked # 6.
Apart from being published in authoritative magazines in the inspection industry "Clinical laboratory" of 8 In addition to the research results in the monthly intelligent special issue, participate AI-MA Many research results from national multi center verification units for big data mining and performance evaluation have been submitted to core journals and scientific research project applications at home and abroad.
Senxu Medical AI-MA National multi center paper awarded "New Industry Cup" Hospital Group Third Prize Group Photo
Senxu Medical AI-MA Core innovative functions
In summary, Senxu Medical AI-MA It conforms to IFCC concerning PBRTQC Quality management tools required for professional information software tools, It can also assist in the mining of big data in laboratory medicine, Promote the transformation of scientific research, Realize intelligent construction!
