What are the specific applications of big data and artificial intelligence technology in the health industry? Please give an example, thank you!

The big health industry conforms to the trend of economic transformation and upgrading and green development in China. The investment and financing amount of global medical and health industry is concentrated at 202 1, reaching 684.603 billion yuan in the whole year, and the highest investment and financing amount is 20 19, reaching 2044. Big data and artificial intelligence technologies empower many big health industries, including public health big data, rapid disease diagnosis, telemedicine, identification and diagnosis, drug research and development, and rehabilitation.

In the supply chain of digital health industry, on the one hand, Zhiyan "digs deep holes" and deepens the digital health industry vertically, forming an independent, controllable, safe and reliable AI core technology; On the other hand, it is "wide grain accumulation", which horizontally expands the diversified market application scenarios of the health industry and helps the government, hospitals, the masses and even the whole industry to stimulate digital power.

AI+ social security

The pension treatment qualification authentication system based on big data and face recognition technology has been applied to provincial platforms in more than 20 social security provinces in China, which has solved the world problem of preventing pension fraud, ensured the security of social security funds and stabilized the overall situation of society.

AI+ medical security

The medical insurance intelligent scene monitoring system based on big data and biometric technology has been applied to nearly 20 provincial medical insurance platforms across the country, realizing intelligent monitoring of outpatient, inpatient, drug purchase, hemodialysis, health physiotherapy and other scenes, preventing medical insurance fraud and ensuring the safety of medical insurance funds.

AI+ hemodialysis management

Follow the clinical business process of hospital hemodialysis center, and intelligently manage and monitor hemodialysis treatment from different aspects, such as patient management, dialysis scheduling preparation, patient treatment scheduling and clinical assistant decision-making. Taking patients as the core, fundamentally change the collection, processing, analysis, inquiry and transmission mode of diagnosis and treatment information, provide intelligent working mode for medical staff, assist doctors to make more humanized and high-quality treatment decisions, improve the quality of department work and hospital service level, improve patient satisfaction, realize the whole process traceability of medical behavior, and ensure medical quality and medical safety.

AI+ chronic disease management

Relying on the intelligent eye cloud chronic disease management system, outpatients with chronic diseases can conveniently generate health management files in the doctor's office, intelligently form disease management objectives through machine learning and medical knowledge map database, help doctors quickly grasp patient information, guide prescription medication and manage diseases, form a patient-centered digital course management system, and realize closed-loop services such as pre-diagnosis, disease prediction and post-diagnosis medication reminder, thus helping the sustainable development of the medical and health industry.

AI+ healthy country

Have a comprehensive service platform for healthy villages &; With the intelligent terminal as the carrier, the high-quality resources of large hospitals are connected with primary clinics through the platform, so as to improve the ability and level of primary clinics, help primary doctors have greater confidence and confidence in diagnosis, let villagers enjoy convenient health services, and help the national rural revitalization strategy land.