In this era of rapid technological development, we are witnessing unprecedented changes. With the continuous breakthrough of cutting-edge technologies such as artificial intelligence, big data, cloud computing and the Internet of Things, a new era of intelligence has arrived.
In the medical field, intelligent and intelligent medical diagnosis and treatment and health services with "artificial intelligence + big data technology" as the core will become the main trend of future development, and this development trend will also have a profound impact on laboratory medicine.
At present, the construction and application of intelligent systems for clinical laboratories in mainland China is still in its infancy, and personnel in clinical laboratories, information software companies and in vitro diagnostic product manufacturers and other industries are actively exploring the application of automated and intelligent construction solutions, big data mining and artificial intelligence technology in clinical laboratories in the field of laboratory medicine, trying to improve the quality management efficiency of clinical laboratories through the construction of intelligent and intelligent systems, ensure the accuracy and timeliness of test results, and improve service capabilities. Clinical laboratory managers and staff provide personalized intelligent service and management.
"Intelligent Construction and Application of Clinical Laboratory" is one of the series of "Clinical Laboratory Technology and Application" edited by Professor Cong Yulong, which aims to enable clinical laboratory managers, staff and related technical personnel to understand the concept, mode and method of intelligent laboratory construction, the development status, practical experience and challenges of intelligent construction in China.
The editor-in-chief, editor-in-chief, deputy editor-in-chief and main editors of this book are all clinical laboratory managers and practitioners with a high level of automation, informatization and intelligent system construction in China, as well as software R&D personnel from testing software companies and IVD manufacturers at home and abroad.
This book comprehensively covers all aspects of the intelligent construction of clinical laboratories, and introduces the application background and development trend of artificial intelligence in clinical laboratories from the perspective of the development of artificial intelligence and clinical laboratory intelligence. The establishment and application of clinical laboratory automation system and information system are discussed in depth. It focuses on the intelligent construction and application of clinical laboratories, covering intelligent construction solutions and practical application cases before, during, and after analysis, including but not limited to intelligent prompt system for clinical doctor's order item selection, intelligent blood collection system, automated assembly line indoor quality control intelligent detection system, real-time quality control intelligent management system based on patient data, intelligent review system for test results, intelligent expert assisted interpretation system, and the application of artificial intelligence technology in the field of laboratory medical morphology. Finally, this paper looks forward to the development direction and future trend of clinical laboratory intelligence, discusses the opportunities and challenges, as well as the development direction of intelligent innovation in laboratory medicine, and reveals how AI technology promotes the progress of laboratory medicine, as well as the possible innovative applications in the future.
This is not an ordinary book, but a key to open a new chapter in the development of laboratory medicine in the future. Join us to open the "Intelligent Construction and Application of Clinical Laboratories", let us step into this journey of intelligent construction and application of clinical laboratories, and explore the possibilities that will rewrite the future of laboratory medicine.
△ Editor-in-chief of the book series: Cong Yulong
Chief physician, professor and doctoral supervisor of the Second Medical Center of the PLA General Hospital, professional and technical level 2. He is the lifelong honorary chief reviewer of the China National Accreditation Service for Conformity Assessment (CNAS), and has successively served as the chairman of the Laboratory Branch of the Chinese Medical Association and the chairman of the Laboratory Physician Branch of the Chinese Medical Doctor Association. Mainly engaged in the research of thrombosis and hemostasis, medical laboratory quality management, etc., he is an important pioneer of modern laboratory medicine in mainland China, and takes the lead in establishing and promoting the ISO15189 medical laboratory management system in China, and has made important contributions to promoting the standardization of laboratory medicine in mainland China. He won the second and third prizes of the Military Science and Technology Progress Award, and the first prize of the Beijing Science and Technology Progress Award; He has successively undertaken the national "863" project and the National Natural Science Foundation of China, published more than 260 academic papers in domestic and foreign magazines, and edited more than 40 monographs.
Laboratory Medicine
automated and intelligent construction solutions;
Big data mining and artificial intelligence technology
Applications in clinical laboratories.
Editor-in-chief: Cong Yulong
Editor-in-chief: Mao Yuanli, Wen Dongmei, Chen Jintian
Publication date: 2024-06
ISBN: 9787030786807
Page: 315 pages
Price: 118 yuan
The purpose of the compilation of "Intelligent Construction and Application of Clinical Laboratories" is to be scientific and pragmatic, keep pace with the times, combine the latest concepts at home and abroad with the practical application of clinical laboratories in mainland China, and take the intelligent development of clinical laboratories as the main line, and expound the process and current situation of automation, informatization, especially intelligent systems in the construction, development and application of clinical laboratories.
About the Editor-in-Chief
Mao Yuanli is the chief technician of the Laboratory Department of the Fifth Medical Center of the PLA General Hospital, professor and doctoral supervisor. Main research directions: rapid detection technology and disease assessment of infectious disease pathogens; Main academic part-time positions: President of the 2nd Laboratory Medicine Branch of the Chinese Geriatrics Society, member of the National Standardization Committee for Medical Clinical Laboratory and In Vitro Diagnostic System (TC136). As the first completer, he has won many awards such as the first prize of military scientific and technological progress; In recent years, he has published 118 papers in domestic and foreign journals and edited 4 monographs.
About the Editor-in-Chief
Wen Dongmei, founder/chief expert of Shanghai Senxu Medical Technology, outstanding young medical talent in Guangdong Province, won the first prize of China's first laboratory medicine AI competition and other honors. He is good at the intelligent construction of laboratory medicine and the invention of artificial intelligence products, 10 original inventions of LAS intelligent technology, leading the development of 12 intelligent application products, 10 national invention patents, 27 soft works, 13 monographs edited and co-edited, and more than 50 SCI core papers.
About the Editor-in-Chief
Tim Chen, Vice President, Specialty & Molecular Diagnostics of Roche Diagnostics China; Vice Chairman of the Medical Equipment Development Promotion Committee of China Medical Education Association.
Writers
Introduction
This book takes the intelligent development of clinical laboratories as the main line, and expounds the process and current situation of the construction, development and application of automation, informatization and intelligent systems in clinical laboratories. The book is divided into five chapters.
The first chapter introduces the development process, opportunities and challenges of related concepts and intelligent systems in clinical laboratories.
Chapters 2 and 3 respectively introduce the planning and transformation of automation, informatization, and intelligent systems in the introduction and construction of clinical laboratories, the selection and configuration of system types, the establishment of workflows, and quality management, and share the application examples of many clinical laboratories at home and abroad.
Chapter 4 introduces the intelligent systems that have been implemented and applied in clinical laboratories of different scales, including the design concept, structural composition, working principle and functional implementation of these systems.
Chapter 5 discusses the development of intelligent clinical laboratories.
Readers
It can be used as a reference for clinical laboratory personnel, in vitro diagnostic product R&D personnel, industry regulators and clinicians.
Table of Contents
Chapter 1 Artificial Intelligence and Clinical Laboratory Intelligence 1
Section 1 Artificial Intelligence and the Intelligent Development of Clinical Laboratories 1
Section 2 Application of Medical Big Data and Artificial Intelligence in the Field of Clinical Medicine 8
Section 3 Application of Medical Big Data and Artificial Intelligence in Clinical Laboratories 13
Chapter 2 Construction and Application of Clinical Laboratory Automation System 22
Section I Overview22
Section 2 Laboratory Automation Systems 27
Section 3 Planning and Renovation of Laboratories Before the Introduction of Automation Systems 42
Section 4 Types and Structural Composition of Automation Systems 46
Section 5 Construction of automation systems 54
Section 6 Quality Management of Automated Systems 66
Section 7 Outlook for Laboratory Automation Systems 72
Section 8 Application and Example Sharing 73
Chapter 3 Construction and Application of Clinical Laboratory Information System 80
Section 1 Overview of Clinical Laboratory Information Systems 80
Section 2 Planning and Design of Clinical Laboratory Information System 84
Section 3 Requirements for Quality Management of Information Systems 88
Section 4 Logistics Management System for Clinical Laboratory Samples 90
Section 5 Clinical Laboratory Critical Value Reporting Information System 99
Section 6 Clinical Laboratory Personnel Management System 104
Section 7 Clinical Laboratory Electronic Document Management System 110
Section 8 Biobank Information Management System 117
Section 9 Information Management System of Regional Inspection Center 126
Chapter 4 Construction and Application of Intelligent Systems in Clinical Laboratories 133
Section 1 Intelligent Monitoring System for Clinical Laboratory Environment and Facilities 134
Section 2 Intelligent Prompt System for the Selection of Clinical Doctor's Order Items 141
Section 3 Hospital Intelligent Blood Collection Automation System 151
Section 4 Intelligent Management System for Clinical Laboratory Samples 159
Section 5 Application of Artificial Intelligence in Sample Preparation 164
Section 6 Intelligent Management System for Serum Index 170
Section 7 Intelligent Robotic Sample Transport Systems in Clinical Laboratories 177
Section 8 Intelligent Management System for Clinical Laboratory Reagents and Consumables 181
Section 9 Intelligent Management System for Clinical Laboratory Equipment 188
Section 10 Application of Artificial Intelligence in the Monitoring and Management of Inspection Equipment 196
Section 11 Detection System Analytical Performance Intelligent Evaluation System 203
Section 12 Indoor Quality Control Intelligent Detection System for Clinical Laboratories 211
Section 13 Intelligent Monitoring System for Real-time Quality Control of Patient Data 219
Section 14 Intelligent Review System for Clinical Laboratory Test Results 229
Section 15 Clinical Laboratory Intelligence Expert Assisted Interpretation System 236
Section 16 Clinical Laboratory Microbial Intelligence Expert Database System 244
Section 17 Application of Artificial Intelligence in the Automation of Medical Microscopy Examination 251
Section 18 Application of Artificial Intelligence in Remote Consultation for Cell Image Recognition 262
Section 19 Clinical Transfusion Intelligent Management System 267
Section 20 Hospital POCT Intelligent Management System 275
Section 21 Intelligent Quality Indicator Monitoring System for Clinical Laboratories 280
Section 22 Intelligent Management System for the Whole Inspection Process of Clinical Laboratories 289
Chapter 5 Direction and Prospect of Intelligent Development of Clinical Laboratories 300
Section 1 Opportunities and Challenges for the Development of Intelligent Clinical Laboratories 300
Section 2 Intelligent Innovation and Development Direction of Laboratory Medicine 305
Section 3 Prospects for the Application of Artificial Intelligence in Laboratory Medicine 312
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