Chronic pain is a complex, multidimensional condition that profoundly impacts patients’ quality of life and requires longterm management. To address existing gaps in digital health tools for this population, we developed a digital platform integrating a web interface for professionals and a mobile application for patients. The platform was built with open-source technologies (Angular, TypeScript, Node.js, PostgreSQL, ECharts) and designed using a User-Centered Design methodology, ensuring active involvement of patients and clinicians to enhance usability and clinical relevance. It enables 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. Two rounds of usability testing were conducted, including a pilot with real patients (n=10) that yielded an average System Usability Scale (SUS) score of 67.75. This confirms the platform’s feasibility and potential as a robust, usable tool to support patient selfmanagement and clinical practice.
Chronic pain is a complex, multidimensional condition that profoundly impacts patients’ quality of life and requires longterm management. To address existing gaps in digital health tools for this population, we developed a digital platform integrating a web interface for professionals and a mobile application for patients. The platform was built with open-source technologies (Angular, TypeScript, Node.js, PostgreSQL, ECharts) and designed using a User-Centered Design methodology, ensuring active involvement of patients and clinicians to enhance usability and clinical relevance. It enables 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. Two rounds of usability testing were conducted, including a pilot with real patients (n=10) that yielded an average System Usability Scale (SUS) score of 67.75. This confirms the platform’s feasibility and potential as a robust, usable tool to support patient selfmanagement and clinical practice. Read More
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