The phenomenon of "information islands" in medical studies is becoming increasingly prevalent since healthcare information resources are generally characterized by multiple sources, multiple types, and non - standardization. The data from large cohort studies in China have complex sources and multiple types and it is difficult for the data from different cohorts to be integrated, shared and utilized. For promoting the standardized integration of healthcare resource data in China, we conduct an in - depth literature analysis on the research on common medical data models (CDM) at home and abroad and patterns of CDM establishment for cross - cohort studies. The study also proposes some recommendations regarding the problems of medical data integration and sharing in the context of precision medicine in China for effective integration, consolidation, sharing, and utilization of cross - cohorts data.
Population medicine is a medical discipline that uses and integrates the knowledge, technology, art and academic of contemporary medicine and related disciplines as the basis of public health practice to maximize the overall and long - term health benefits of the population. The construction of population medicine talent teams is in line with the strategy of reinvigorating China through human resource development, and the practice of population medicine tends to be consistent with the construction of Healthy China. In this paper, we discussed the necessity and reality of the construction of talent teams in population medicine and putted forward some considerations on the construction of talent teams in China by summarizing and drawing lessons from the relevant experience and practice of foreign countries in medical talent training.
Information technology is one of effective means to promote school health implementation. However, the existing school health information systems are fragmented, isolated, and lack of integration and suffer from serious information barrier. Additionally, some of the existing systems have incomplete functions, low level of intelligence, and slow update and iteration, witch seriously restricting the development of school health informatization. To break through the information barrier and promote the development of school health informationization, as well as to provide scientific means to improve the level of school health management and student health, it is imperative to build a smart and integrated school health management system platform. In this article, we briefly presented construction goal, technical framework, application, and utilization effects of the Shenzhen Intelligent Campus School Health Management System.
We established a government cloud platform-based epidemiological survey information management system to improve the capability of response to public health emergencies in Liaoning province. By using big data, cloud computing, image recognition, speech recognition, fifth generation (5G), geographic information systems (GIS) and other technologies, the system takes the advantages of government cloud platform including strong computing power, safe and reliable data exchange, flexible server deployment, and efficient data collection. The system could be used to construct multi-dimensional transmission model of epidemics, to conduct big data analysis, to link the data collected at provincial/municipal and district levels, to assist real-time cross-provincial collaborative investigation, and to carry out closed-loop management on the information of joint prevention and control of epidemic. The established system came into operation in August 2021 in Liaoning province and played an important role in regional epidemic control and prevention.