Abstract: 【Purpose/significance】Exploring the influencing factor system of rural medical and health information collaboration and identifying the key factors affecting rural medical and health information collaboration are of great practical significance to improve ru⁃ ral medical and health information collaboration and help medical and health information interoperability and sharing.【Method/pro⁃ cess】Based on the WSR system methodology, the system of influencing factors of rural medical and health information collaboration is explored, and the fuzzy DANP method is used to analyze the interrelationships and relative importance of the influencing factors, and the key factors affecting rural medical and health information collaboration are identified.【Result/conclusion】The WSR model of ru⁃ ral medical and health information collaboration was constructed, eight key influencing factors of rural medical and health information collaboration were identified, and finally the corresponding optimization strategies were proposed from three dimensions, namely, Wuli, Shili, and Renli.【Innovation/limitation】Exploring the system of rural medical and health information collaboration influencing factors based on the WSR system methodology can provide theoretical references and practical guidance for the construction of digital villages and health information services, but the quantification of the indexes is subjective and the number of samples needs to be ex⁃ panded and enriched.