Patients with breast cancer patients undergoing chemotherapy commonly experience multiple co-occurring symptoms that are dynamic, interrelated, and difficult to manage using conventional approaches. Existing symptom management strategies often fail to address the complexity and evolving nature of symptom experiences during treatment.
This study aims to develop a knowledge graph-based symptom management recommendation system for patients with breast cancer undergoing chemotherapy and to evaluate its usability and preliminary effectiveness among both patients and nurses. The system integrates evidence-based guidelines, clinical expertise, and patient-reported data to provide personalized recommendations for symptom management.
In this study, patients will use the system to report symptoms and receive tailored management recommendations, while nurses will use it to support clinical decision-making and symptom management. Usability, acceptability, and user experience will be assessed for both patients and nurses, and changes in symptom burden and management outcomes will be evaluated.
The findings are expected to inform the feasibility and optimization of multi-user digital health interventions for comprehensive symptom management in oncology care.
Aged 18 to 80 years
Pathologically confirmed breast cancer
Stage I-III breast cancer
Planning to initiate or currently receiving neoadjuvant or adjuvant chemotherapy
Recurrent or metastatic breast cancer (stage IV)
Significant cognitive impairment or communication barriers that preclude informed consent or completion of study procedures
Severe psychiatric disorders or unstable psychiatric symptoms that may interfere with study participation
Considered unsuitable for participation by the clinical or research team because of unstable medical condition or need for acute management