內容目錄
National People’s Congress Delegate Li Lin Chen Zhengbao/Photo
my country’s medical and health industry is accelerating its digital transformation. It is a general trend to use artificial intelligence technology to empower and achieve full life cycle health management.
First of all, in the context of an aging and aging population, the technology and application system around personal health management will become a natural extension of the existing medical system, greatly improving the health of patients. The effect of treatment and management of chronic diseases has shifted from “treatment of existing diseases” to “treatment of pre-diseases”, effectively alleviating the contradiction between supply and demand of medical resources, and providing more comprehensive support for the continuous improvement of national health.
Secondly, use information technology to improve service capabilities, open a new model of “Internet + medical care” integrated service, and build a new model of “Internet + medical care” integrated services by enhancing the research and development of health support equipment and home protection sensing systems. The intelligent health management information platform promotes information connectivity and sharing, so as to use big data analysis to grasp the health needs of different groups of people in real time, quickly and efficiently.
In the future, empowering health management through artificial intelligence will effectively improve the level of health monitoring, disease prevention and health risk assessment, strengthen the ability of health management and active intervention, and accelerate progress. Towards the goal of “Healthy China 2030”.
To achieve this goal, it is necessary to improve policies and regulations and data security classification, break down barriers to privacy security and data sharing, and promote AI-enabled health management. Among them, the review and review of artificial intelligence health management products and systems must have guidelines and specifications, clarify the functional role of wearable devices, cloud platforms, system software and other hardware and software facilities in artificial intelligence health management, and improve the bottom line of risk prevention.
At the same time, strictly control the process, protect the privacy of personal data, strengthen supervision over the whole life cycle process of health data collection, storage, sharing, analysis, etc., and require data users to conduct regular Risk assessment, take safe and reliable preventive measures and technical safeguards to avoid data leakage.
Xinmin Evening News Chief Correspondent Yao Liping Organized
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