长宁区升级全域联动全生命周期健康数据库打造智慧医疗体系 数智赋能 健康管理“一屏通办”

Core Viewpoint - The new medical model of "community first diagnosis + one-stop appointment" is becoming a daily health routine for 690,000 residents in Changning District, aiming to enhance healthcare efficiency and accessibility through integrated data systems and smart platforms [1][2]. Group 1: Smart Medical Services - Changning District promotes a "nearby, quick, and good" principle by integrating quality medical resources from various institutions, enabling patients to complete necessary medical evaluations with minimal visits [2]. - The introduction of a one-stop intelligent anesthesia risk assessment system and gastrointestinal examination services allows patients to book appointments online through family doctors, with results shared in real-time [2]. - An AI-driven intelligent report interpretation system has been developed to explain medical reports in simple language, while a big data-based health management system offers personalized health advice [2]. Group 2: Comprehensive Health Database - Changning District is building a comprehensive health database that tracks residents' health information throughout their lives, creating a real-time "health map" accessible to healthcare providers [3]. Group 3: Enhanced Efficiency for Healthcare Providers - The implementation of a smart unified desktop has streamlined operations for healthcare workers, reducing redundant tasks by over 30% and allowing for more focus on patient care [4]. - High-quality data management enables healthcare professionals to quickly access complete patient records, improving diagnostic accuracy and treatment effectiveness [4]. - The integration of patient data facilitates remote consultations between family doctors and specialists, enhancing collaboration and resource utilization [4]. Group 4: Data Management and Quality Assurance - Changning District has established a dual-track data standard system covering both clinical and public health data, creating 45 clinical data sets and 168 public health data sets to ensure data quality [5]. - A total of 7.9 billion clinical data entries and 1.59 billion public health data entries have been efficiently cleaned, achieving a data completeness rate of 91.32% [5]. Group 5: Future Innovations - Future plans include expanding data coverage and innovating applications such as AI health summaries and AI-assisted diagnosis to further enhance the quality and efficiency of medical services [6].