With the increasingly diversified healthcare service workflows and coalition scenarios in China, healthcare data is undergoing rapid expansion while demonstrating increasingly prominent crossdomain characteristics. Crossdomain healthcare data governance has emerged as an essential approach for maximizing data value and enhancing risk management. However, in the multiparty healthcare coalition scenarios, organizations are limited by factors such as divergent interests and differences in technological capabilities, thus encountering significant challenges in establishing sustainable and stable cooperation in crossdomain healthcare data governance. This paper focuses on the management dynamics of multiparty cooperation in the Internet of Healthcare Systems (IHS) environment, systematically summarizing healthcare coalition scenarios. It investigates the evolutionary processes and influencing factors of tripartite cooperative strategies in crossdomain healthcare data governance, with simulation analysis conducted through a case study of the RuijinLuwan healthcare consortium. Building on this foundation, a multiscenario adaptable and dynamically iterative generalpurpose cooperation mechanism is proposed based on Action Design Research (ADR) theory, providing theoretical insights for achieving sustainable and stable cooperation in crossdomain healthcare data governance in the IHS environment.