Yunnan, as a multi-ethnic region in China, has nurtured seven ethnic medical systems including Dai, Yi, Tibetan, Wa, Naxi Dongba, Hani, and Miao medicine. These systems embody distinct information flow and cognitive models in disease prevention, diagnosis, and treatment. Based on the DIKWP(Data-Information-Knowledge-Wisdom-Purpose) network interaction model, this study comprehensively analyzes 25 transformation pathways among the ethnic medicines, presenting detailed transformation tables and flow diagrams. Furthermore, the paper compares the DIKWP-based characteristics of the seven ethnic medical systems with four major traditional medicines(TCM, Ayurveda, Unani, and Ancient Greek medicine) in terms of knowledge system, etiology, diagnostic methods, and therapeutic approaches. In combination with modern medicine and artificial intelligence(AI) advancements, innovative pathways for intelligent clinical decision support, telemedicine, and wearable device applications in ethnic medicine are proposed. The results provide not only insights into the internal differences and commonalities of ethnic medical information flows but also theoretical and practical references for standardization, digital transformation, and internationalization of ethnic medicine.