The universality of waiting behavior and the uncertainty of time in medical scenarios are important factors that impact the patient's experience. The rapid development of intelligent healthcare service systems offers possibilities to provide more immediate, efficient, and personalized medical information services, thereby improving the waiting experience of patients. With digital and informationized medical services as the technical foundation, the work aims to explore the elements of the waiting service link's information structure based on users' information acquisition needs during the waiting process, so as to facilitate patients in establishing clear expectations regarding their waiting time and enhance their overall waiting experience, while also providing guidance for relevant information design. Based on the time perception theory in cognitive psychology and the queuing characteristics within medical waiting environments, the need to establish clear waiting expectations was transformed into a time positioning problem. Therefore, a waiting-based information component model was proposed, which verified the validity of various element combination forms and user satisfaction through different medical treatment stage scenarios. The model was composed of four information elements of time series information, time interval information, time point information and time varying information, which could simultaneously meet the information needs of users for waiting time prediction in different scenarios. The effectiveness of the four-element information model was verified by experiments. The information design element model and its combination design based on medical waiting scenario can support users to establish clear waiting time expectation, and provide a reference frame for information design in other waiting scenarios.