Research On The Application Of Artificial Intelligence In Medical Information Service

With the development of science and technology,artificial intelligence technology has been applied to the medical field.The application of artificial intelligence in medical information service has the value of reshaping medical experience,reconstructing management system and improving medical diagnosis effect.The application of artificial intelligence in medical information service can be divided into three application scenarios.One is the hospital management information service,medical image information service and auxiliary diagnosis information service in general hospital system information service.Second,artificial intelligence in community health system information service health screening information service,chronic disease management information service,disease referral information service;Third,artificial intelligence in the family health system information service of self-diagnosis and guidance information service,disease prediction information service,health management information service.However,artificial intelligence lacks flexibility in intelligent management in the information service application of general hospital system,it is difficult to obtain image data,and there is deviation in intelligent auxiliary diagnosis.In the information service application of community health system,there is risk of disclosure of privacy data,difficult operation of chronic disease management,and information is fragmented before and after referral.There are many problems in the application of family health system information service,such as the deviation of intelligent self-diagnosis,the opacity of algorithm analysis and prediction,and the low accuracy of health data collection.The strategy to solve the application problem is to improve the flexibility of management,increase the sources of data acquisition and optimize the auxiliary diagnosis results.Secondly,strengthen privacy data protection,optimize the simple operation of technology,and innovate information interaction services;Finally,we optimize self-diagnosis data processing,establish algorithm management standards,and improve data acquisition accuracy.