我省加快打造公共数据“跑起来”示范场景

Core Insights - The province's initiatives "Data-Driven Multi-Check Reform" and "AI + Key Population Health Management Services" have been selected as part of the fourth batch of national public data demonstration scenarios [1][2] Group 1: Data-Driven Multi-Check Reform - The initiative aims to resolve issues of multiple and redundant inspections by establishing a unified administrative inspection data standard and process [1] - It focuses on creating a closed-loop inspection system that includes various types of checks such as joint and supervisory inspections, contributing to a more regulated and fair business environment [1] Group 2: AI + Key Population Health Management Services - This initiative targets grassroots public health service needs, utilizing advanced technologies like medical large models to serve key demographics such as children, adolescents, and pregnant women [1] - It aims to enhance public health services through intelligent health risk assessments, automated intervention plans, and precise outreach, making health management more accurate and efficient [1] Group 3: Overall Data Strategy - The province has been implementing the national data bureau's public data demonstration scenario construction since last year, focusing on innovation in public services and sectors like AI and low-altitude economy [2] - A long-term management mechanism has been established for the demonstration scenarios, with a focus on project selection based on three development models: government data sharing, public data openness, and authorized public data operation [2] - As of now, eight scenarios, including those related to low-altitude economy and AI health management, have been selected as national public data demonstration scenarios, placing the province among the top in the country [2] - The province aims to enhance the data infrastructure and release the value of public data resources, stimulating supply and usage across society [2]