Purpose/Significance To solve the problems of limited types, insufficient depth of disclosure and low fusion correlation of diagnosis and treatment resources, so as to lay the foundation for semantic fusion and discovery of multi-source heterogeneous diagnosis and treatment resources.Method/Process The paper proposes some fusion methods, such as resource aggregation based on knowledge system, data association based on enhanced knowledge representation, content integration based on entity alignment, etc., which achieves deep standardized description, semantic integration and correlation of thematic resources, literature resources and public health education resources.Result/Conclusion A diagnosis and treatment resource fusion and discovery platform has been developed to support the multi-dimensional fusion and discovery of diagnosis and treatment resources through services such as intelligent retrieval and recommendation, result clustering and faceted classification, semantic association, etc.