Integrating Technology into Urticaria Management: Telemedicine, Remote Monitoring and Patient-Centered Care

Background: Urticaria, particularly chronic urticaria (CU), is a highly prevalent inflammatory skin disorder characterized by recurrent wheals and/or angioedema with a fluctuating and unpredictable course that significantly impairs quality of life and requires long-term monitoring. Despite established therapeutic guidelines, disease control remains suboptimal in a considerable proportion of patients. Telemedicine has emerged as a promising adjunctive strategy for chronic disease management. This review aims to critically evaluate the role, applications, benefits, and limitations of telemedicine and digital health interventions in urticaria management. Methods: A scoping review of the literature was conducted focusing on studies addressing telemedicine, digital patient-reported outcomes, mobile health applications, and remote monitoring strategies in urticaria. Evidence from pandemic and post-pandemic telemedicine models was also analyzed to identify transferable approaches. Results: Telemedicine demonstrates significant potential in urticaria management by enabling structured symptom monitoring, facilitating remote follow-up during therapeutic escalation (including biologic therapies), improving patient empowerment and adherence, and reducing healthcare utilization and indirect costs. Digital tools such as electronic diaries and validated PRO-based applications support continuous disease assessment. However, telemedicine cannot replace direct clinical examination, and limitations include diagnostic uncertainty, digital inequalities, data privacy concerns, and lack of large disease specific trials. Conclusions: Telemedicine represents a valuable complementary and integrative model for urticaria care, particularly suited for chronic disease monitoring. Hybrid care pathways combining remote and in-person management appear to be the most effective and sustainable strategy. Further high-quality urticaria-specific studies and standardized digital frameworks are required to optimize its clinical implementation.