In recent years, The National Health Commission and other departments have released "Management Measures for Mutual Recognition of Inspection and Testing Results in Medical Institutions" Waiting for a series of measures aimed at optimizing medical services, Policies to improve the efficiency of medical resource utilization, Covering mutual recognition of inspection and testing results, Construction of Grassroots Medical and Health Service System, High quality development of public hospitals, Important areas such as the construction of compact urban medical groups. Aiming to establish a medical collaborative network for medical information exchange and resource sharing, Utilizing information technology and emerging technologies such as artificial intelligence, Big data mining, To promote the improvement of quality management level in medical institutions, Realize mutual recognition of inspection results, Provide faster and more accurate medical services, Promote medical quality and optimize resource allocation. To promote academic exchanges in intelligent testing and the widespread application of intelligent solutions in clinical laboratories, 2023 Year's Day 8 period "clinical laboratory" "Laboratory Automation, digitalization, intelligentization" special issue, Led by Professor Mao Yuanli from the Laboratory Medicine Center of the Fifth Medical Center of the People's Liberation Army General Hospital and Professor Wen Dongmei, Chief Expert of Shanghai Senxu Medical Technology Co. , Ltd, Bring automation to readers, informatization, digitalization, The latest progress in the application and practice of intelligent technology in clinical laboratories. this issue "review" column, Professor Mao Yuanli and Professor Wen Dongmei jointly wrote and brought "Laboratory intelligence and big data mining technology, Assist in mutual recognition of clinical laboratory test results and improvement of quality management" , The main focus is on the process and key contents of the national policy of mutual recognition of inspection results among medical institutions, Challenges and difficulties faced in implementing mutual recognition of results, Key elements for implementing mutual recognition of results, ChatGPT Prediction and Prospect of Application Scenarios for High Quality Development in Clinical Laboratories, Sharing opportunities and challenges in the development of clinical laboratories. The full text is detailed below: Figure 1: Mutual recognition of inspection results among medical institutionsKey elements for smooth implementation
Figure 2: ChatGPT Application scenarios in clinical medicine and laboratory fields
Excerpted from "clinical laboratory" 2023 year 8 moon "Laboratory Automation, digitalization, intelligentization" special issue
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