The AI chronic disease management solution of Heguang Digital also integrates over 400 data indicators, builds users' dynamic health records, provides personalized intervention plans in four dimensions including nutrition, exercise, sleep and stress, and continuously optimizes the overall intervention strategy based on health data. From the perspective of implementation effects, this plan can truly bring multi-dimensional value to the hospital: at the operational level, it comprehensively enhances the service capabilities of family doctors and promotes the hospital to shift from short-term services of "one person, one time" to long-term services of "a lifetime". In terms of revenue growth, it not only boosts the number of outpatients and medical treatment income through an increase in the rate of follow-up visits, but also promotes the growth of drug sales by leveraging a high repurchase rate. Moreover, it optimizes costs through intelligent monitoring and AI-assisted diagnosis. Among them, the revenue from repurchased drugs in the medical revenue can increase by more than 300%, and the labor cost (accounting for 35% to 45% of hospital expenditures) can be reduced by about 80%.
The core team graduated from Tsinghua University, Harbin Institute of Technology, Hong Kong University of Science and Technology and other universities, and has held management positions in well-known technology and medical companies. It has both technical strength and medical industry accumulation. At present, the project has been included in the national-level "National Innovation and Integration Pilot Project for Prevention and Control of Major Chronic Diseases" and "Health Management Application Demonstration Zone Construction and Application Demonstration Effect Evaluation" projects to provide technical support and cooperate with Xiangya Third Hospital, Zhongan Insurance, etc. reached cooperation intention
The AI medical solution of Heguang Digital (Shenzhen) Co., Ltd. was born in 2025, against the backdrop of an industry where hospitals generally faced a decline in revenue under the medical insurance cost control policy. The company takes causal reasoning learning as its core technical support and provides targeted AI solutions around the core pain points of hospitals. In response to the low number of patients seeking medical treatment, high labor costs, and poor service quality, it introduces intelligent information management, sorts out the work processes of hospital staff, and offers functions such as diagnosis report analysis, intelligent chronic disease management, medical AI intelligent response, and humanistic care push. Significantly reduce management costs, improve service quality, increase the rate of follow-up visits, and boost hospital revenue.
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