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Mi-S1.4-Tele: Telemedicina y salud digital Lugar: Aula 1.05 Presidente de la sesión: Jesús Daniel Trigo Vilaseca Presidente de la sesión: María Elena Hernando Pérez | |
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12:45 - 13:00
Design and usability evaluation of a mHealth Platform for Personalized Management of Chronic Pain 1: Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology (CTB-UPM), Universidad Politécnica de Madrid, 28040 Madrid, Spain; 2: Instituto de Investigación Hospital 12 de Octubre (imas12), Hospital Universitario 12 de Octubre, 28041 Madrid, Spain; 3: Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autònoma de Barcelona (UAB), Badalona, Spain; 4: Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain; 5: Escuela Técnica Superior de Ingenieros Informáticos, Center for Biomedical Technology (CTB-UPM), Universidad Politécnica de Madrid, 28040 Madrid, Spain; 6: Centro de Investigación Biomédica en Red, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain Chronic pain is a complex, multidimensional condition that significantly impacts patients' quality of life and requires long-term management. To address existing gaps in digital health tools for this population, we developed a digital platform that integrates a web interface for professionals and a mobile application for patients. The platform was developed with open-source technologies (Angular, TypeScript, Node.js, PostgreSQL, ECharts) and designed using a User-Centered Design methodology, ensuring the active involvement of patients and clinicians to enhance usability and clinical relevance. It provides a multidimensional assessment of patients' conditions across key clinical domains, using validated questionnaires, clinical recommendations, and interactive visualizations. The platform was technically validated to ensure correct functionality and responsive behaviour. In addition, two rounds of usability testing were conducted, including a pilot test with real patients (n=10) that yielded an average System Usability Scale (SUS) score of 67.75. This result confirms the platform's feasibility and its potential to serve as a robust, usable tool to support patient self-management and clinical practice
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