Objective: This study investigates the implementation status of intelligent whole-process management system for cross-regional malignant tumor patients with outpatient special diseases. Methods: The study takes a tumor hospital in Guangzhou City as an example. On the physician side, electronic application forms integrated with AI agents were adopted to facilitate semi-automatic generation of application forms. For patient verification, a WeChat mini-program employing facial recognition and basic medical insurance data validation was deployed. The introduction of AI-assisted decision support has improved the efficiency and accuracy of the approval process. Furthermore, automated and precise claim processing was achieved by embedding the settlement logic into the backend system, alongside the implementation of a dynamic eligibility exit mechanism. Results: The one-stop eligibility certification of outpatient special disease is available at the hospital for patients throughout Guangdong Province at present, yielding a multiplicative rise in certified cases and a cumulative certification count of approximately 100000. By 2025, non-local patient services represented 72.6%. The introduction of AI-assisted review led to 80.1% of cases being processed within one hour, alongside a reduction of the minimal approval time to less than five minutes. Conclusion: The fully intelligent management system of outpatient special disease markedly improves approval efficiency while ensuring the proper use of medical insurance funds. These outcomes position it as a promising candidate for implementation across diverse healthcare institutions and outpatient special or chronic disease programs.