The purpose of this clinical trial is to build an information platform for symptom management and integrated care strategy of gastrointestinal stromal tumor targeted treatment patients: the system is composed of big data platform and care strategy platform. The big data platform can automatically extract patient data from HIS, Medcare and other patient diagnosis and treatment systems according to the pre-set patient inclusion criteria, form a health file of gastrointestinal stromal tumor targeted treatment patients, and complete the enrollment. The system will intelligently promote the care strategies of the patients included in the big data platform, promote the two-way communication between doctors and patients, and realize the functions of timed symptom evaluation, symptom management, symptom management result feedback, etc. All patient health data can be customized output through the big data platform. The two platforms complement each other, promote patient self-management, improve the quality of medical follow-up service, reduce the workload of medical personnel, optimize the use of medical resources, and improve the quality of scientific research data. It is not necessary for patients to judge how to take intervention measures, but the system's management center decision-making module will evaluate the symptoms of patients, and then pop up corresponding measures, so that patients can more effectively cope with the discomfort of related symptoms caused by targeted treatment at home, and alleviate the impact on life.
The goal of this clinical trial is to construct a symptom management strategy for patients with gastrointestinal stromal tumor targeted therapy based on symptom management theory under the guidance of MRC framework. Embed the symptom management strategy into the information platform and conduct an empirical study on integrated care for GIST patients, and compare it with the traditional outpatient follow-up patients to explore the safety and effectiveness of the symptom management strategy and the application effect of the integrated care platform.