Development and Usability Evaluation of a Knowledge Graph-Based Symptom Management System for Patients With Breast Cancer Undergoing Chemotherapy

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.

NCT Number	NCT07495358
Lead Sponsor	Capital Medical University
Conditions	Breast Neoplasms, Syndrome
Enrollment	30 participants
Start Date	2026-04-15
Primary Completion	2026-10-15 (estimated)
Study Completion	2026-12-15 (estimated)
Updated on ClinicalTrials.gov	2026-04-01