This clinical investigation examines the Legit.Health software medical device, utilizing advanced machine vision and deep learning for dermatological diagnostics. With 160 patients, the study prioritizes ethical standards and regulatory compliance, potentially transforming dermatological diagnostics. The primary objective is to validate the device's effectiveness in tracking chronic dermatological conditions, aiming for a Clinical Utility Questionnaire score of 8 or higher. Secondary objectives include confirming high patient satisfaction with remote device application, assessing the device's impact on reducing face-to-face consultations, and validating its reliability in consistently monitoring conditions. The study encompasses patients with chronic dermatological conditions meeting inclusion criteria at the Dermatology Department of Hospital Universitario de Torrejón. The design involves a six-month recruitment period, informed consent, and initial supervised device use. Patients autonomously complete questionnaires, use the Dermatology Life Quality Index, and submit pathology photographs through Legit.Health. With 160 patients recruited, the study initiated on March 03, 2022, and completed on October 23, 2023, spanning a total duration of 19 months. The results indicate positive outcomes, with specialists perceiving ease of use and effectiveness in optimizing consultation time. The Data Utility questionnaire affirms the device's usefulness, and high user satisfaction and ease of navigation are reflected in System Usability Scale results. Positive patient satisfaction scores were observed, and no adverse events were noted, indicating a favorable safety profile. In conclusion, the Legit.Health device proves highly effective, safe, and user-friendly for managing chronic dermatologic conditions. Positive feedback from specialists and patients highlights its potential as a valuable clinical tool, offering objective follow-up in skin evaluation.