By docking with the information system of medical institutions, it collects, combs out, and pre-processes patients' diagnosis and treatment information, including the clinical manifestations of patients (medical records such as chief complaint, history of present illness, and examination and inspection information). Based on the medical knowledge base and medical AI-assisted diagnosis and treatment engine, it analyzes such information, standardizes the diagnosis and treatment process, and reduces missed diagnoses and misdiagnoses. Thus, clinical diagnosis and treatment recommendations are generated. It provides smart aided support for the clinical decision-making process of doctors and offers smart supervision services of diagnosis and treatment process and quality based on real-time diagnosis and treatment data for medical and health authorities at all levels.

Based on the grassroots auxiliary diagnosis system and the general practice AI technology capability, the community-level doctor smart assistance platform extends inpatient business and public health services, with functions covering outpatient, inpatient, public health, family doctor signing, and other business links. It provides smart assistance to community-level doctors in scenarios such as disease diagnosis, prescription, nursing service, public health service, etc., to help them continuously improve their diagnosis and treatment ability and assist in refined and integrated regional management.

Based on AI core technology, smart speech interaction technology, and smart outbound service platform, iFLYHealth formulates outbound programs for different groups of people according to the work content of family physicians. It assists family doctors in completing daily follow-up visit tasks such as physical examination appointments, notifications, propaganda, education, chronic illness follow-up visits, assessment and satisfaction surveys, and physical examination appointments.

Relying on the intelligent hardware, it measures and collects patients' health information in real-time, pushes AI health guidance and health intervention programs for contracted residents and assists doctors in completing chronic disease management.

By using AI, big data, cloud computing, space-time clustering analysis, in-depth knowledge reasoning, a scenario-based smart speech outbound technology, other technologies, and centering on emerging and sudden infectious diseases and unknown diseases such as COVID-19, it comprehensively monitors and prevents emergency events that endanger public health and security. The platform covers key monitoring sites and populations such as community-level medical institutions, graded hospitals, schools, and pharmacies. It can do multiple-point triggers, multiple-channel early warning, smart monitoring with screening, visual decision-making analysis, and urgent infectious illness disposal. A sensitive, reliable, multi-level, extensive coverage, early warning, and integrated prevention and control system for infectious diseases has been built. Additionally, it has improved the region's ability to early identify and treat infectious diseases as they emerge and recur frequently.