AI+Medicare's intelligent scene monitoring system for health insurance based on big data + biometrics has been applied to nearly twenty provincial health insurance platforms across the country, realizing intelligent monitoring of scenes such as outpatient clinics, hospitalization, drug purchases, blood dialysis, and health physical therapy, preventing health insurance fraud and deception, and ensuring the safety of the health insurance fund.
By far the most powerful application of big data is the collection of electronic medical records. Every patient has his or her own electronic record, including personal medical history, family medical history, allergies, and all medical test results.
Typical attempts of AI in healthcare include voice entry of cases, medical image analysis, comprehensive diagnosis and treatment, physical health management, medical robotics, and medical drug development.
Electronic management of medical data for the collection of electronic medical records, including personal medical history, family medical history, allergies, and all medical test results. Shared in the information system, each doctor is able to add or change records in the system without the need for time-consuming paperwork.
Intelligent drug research and developmentIntelligent drug research and development refers to the application of deep learning technology in artificial intelligence to drug research, through big data analysis and other technical means to quickly and accurately mine and screen out suitable compounds or organisms, to achieve the purpose of shortening the cycle of new drug research and development, reducing the cost of new drug research and development, and improving the success rate of new drug research and development.