 This paper proposes a novel approach to constructing multi-datasource medical knowledge graphs using the data, information, knowledge, and wisdom, DIKW, system. It first selects reliable data sources and then employs a two-step data fusion strategy to combine the data from multiple sources. This process helps improve the quality of the resulting knowledge graph. Additionally, it uses a scientific method to expand and update knowledge at each layer of the knowledge graph. Finally, question and answer experiments validate the effectiveness of the proposed approach. This article was authored by Meng Longli, Zihou N.I., Lu Tian, and others.