Clinical Validation of AI-Based System for Continuous Remote Monitoring of Patient Severity — COVIDX_EVCDAO  

Skin Diseases Clinical Trial

Official title: Clinical Validation of a Computer-Aided Diagnosis (CAD) System Utilizing Artificial Intelligence Algorithms for Continuous and Remote Monitoring of Patient Condition Severity in an Objective and Stable Manner.

Status Completed

Clinical Trial Summary

The goal of this observational prospective and analytical study is to evaluate the effectiveness of the device developed by Legit.Health in remotely monitoring the severity of chronic dermatologic pathologies. Secondly, to assess patient satisfaction with the device for remote monitoring. All this in patients diagnosed with any of the specified chronic dermatological conditions that meet the inclusion criteria. These patients are attended at the Dermatology Department of the Hospital Universitario de Torrejón. The study proceeded as follows: Patient Selection and Recruitment Visit The recruitment period spanned six months, during which investigators identified eligible patients. The Principal Investigator (PI) or designated collaborating investigators explained the study details to potential participants using the Patient Information Sheet. Patients had the opportunity to seek clarification on any aspects of the study. If a patient chose to participate, they provided informed consent and received a study code. Data collection commenced post-consent. During this initial visit, patients used the device under the supervision of the research team to complete questionnaires and capture photographs associated with their pathology. Subsequently, the patient autonomously and remotely continued the data collection process at home, as detailed in the following section. The device was provided at no cost to patients and the research team for the study's duration. Procedures Performed by the Patient at Home Completion of Questionnaires Patients independently reported on their condition from home, following instructions provided by the research team and the "Patient Information Guide" integrated into Legit.Health, in conjunction with photograph submissions. Every two months, patients completed the "Patient Satisfaction Questionnaire" addressing general user experience aspects. Additionally, they completed the System Usability Scale (SUS) Questionnaire at the same frequency Image capture Patients simultaneously took photographs of the affected areas while completing questionnaires through the app. These photographs were captured using the patient's smartphone from their homes in an autonomous manner. The frequency of photograph submission was determined by the consulting specialist. No specialized camera equipment was required; patients used the camera available on their smartphones. Patients then transmitted these photographs to the research team through a web app Both patients and members of the medical team possessed access credentials. The manufacturer did not have access to patient accounts or information. Data transfer and photograph storage adhered to the European Regulation 2016/679 of 27 April on the protection of natural persons with regard to the processing of personal data and the free movement of such data, as well as the Organic Law 3/2018 of 5 December on the Protection of Personal Data and guarantee of digital rights.

Clinical Trial Description

Introduction This clinical investigation marks a pivotal stage in the development of the Legit.Health software medical device, designed to enhance dermatological diagnostics using advanced machine vision and deep learning. The study focuses on evaluating the device's effectiveness in remotely monitoring chronic dermatologic conditions and assessing patient satisfaction. With a diverse cohort of 160 patients, rigorous ethical standards, and adherence to regulatory guidelines, this research holds significant potential in revolutionizing dermatological diagnostics. Objectives Primary objective The primary aim of this study is to ascertain the validity of the device, leveraging artificial intelligence and developed by AI Labs Group S.L., in objectively and reliably tracking the progression of chronic dermatological conditions. This validation is deemed successful if the tool achieves a score of 8 or higher in the Clinical Utility Questionnaire (CUS). Secondary objectives In addition to the primary objective, secondary objectives encompass: Confirming that the utilization of the device elicits a high level of patient satisfaction, particularly in its remote application. Demonstrating that the implementation of the device leads to a reduction in face-to-face consultations, thereby optimizing healthcare resources and patient convenience. Validating the device's ability to consistently generate reliable condition monitoring, thereby establishing its trustworthiness as a monitoring system. Population The study encompasses patients diagnosed with any of the specified chronic dermatological conditions that meet the inclusion criteria. These patients are attended at the Dermatology Department of the Hospital Universitario de Torrejón. Design and Methods Design The study proceeded as follows: 1. Patient Selection and Recruitment Visit The recruitment period spanned six months, during which investigators identified eligible patients. The Principal Investigator (PI) or designated collaborating investigators explained the study details to potential participants using the Patient Information Sheet. Patients had the opportunity to seek clarification on any aspects of the study. If a patient chose to participate, they provided informed consent and received a study code. Data collection commenced post-consent. During this initial visit, patients used the device under the supervision of the research team to complete questionnaires and capture photographs associated with their pathology. Subsequently, the patient autonomously and remotely continued the data collection process at home, as detailed in the following section. The device was provided at no cost to patients and the research team for the study's duration. 2. Procedures Performed by the Patient at Home 2.1. Completion of Questionnaires Patients independently reported on their condition from home, following instructions provided by the research team and the "Patient Information Guide" (Appendix IV of the protocol) distributed during the screening visit. At regular intervals, patients documented the status of their pathology using questionnaires and the Dermatology Life Quality Index (DLQI) (Appendix V of the protocol), integrated into Legit.Health, in conjunction with photograph submissions. Every two months, patients completed the "Patient Satisfaction Questionnaire" (Appendix II of the protocol), addressing general user experience aspects. Additionally, they completed the System Usability Scale (SUS) Questionnaire (Appendix III of the protocol) at the same frequency. 2.2. Image Capture Patients simultaneously took photographs of the affected areas while completing questionnaires through the app. These photographs were captured using the patient's smartphone from their homes in an autonomous manner. The frequency of photograph submission was determined by the consulting specialist. No specialized camera equipment was required; patients used the camera available on their smartphones. Patients then transmitted these photographs to the research team through a web app (Appendix VII of the protocol). Both patients and members of the medical team possessed access credentials. The manufacturer did not have access to patient accounts or information. Data transfer and photograph storage adhered to the European Regulation 2016/679 of 27 April on the protection of natural persons with regard to the processing of personal data and the free movement of such data, as well as the Organic Law 3/2018 of 5 December on the Protection of Personal Data and guarantee of digital rights. Number of Subjects A total of 160 patients were recruited in this study. Initiation Date March 03rd, 2022 Completion Date October 23rd, 2023 Duration The study spanned a total duration of 19 months, encompassing the time needed for tasks such as database closure and editing, data analysis, and the preparation of the final study report after the recruitment of the last subject. Methods The study employed a prospective observational analytical design to evaluate the effectiveness of the device in remotely monitoring chronic dermatologic pathologies. The research encompassed a diverse cohort of 160 patients with various dermatological conditions. Data collection involved questionnaires, photograph analysis, and patient satisfaction surveys. The study adhered to strict ethical guidelines, ensuring patient confidentiality and compliance with international standards. Patients were provided with detailed information and informed consent. The study's robust methodology aimed to assess the clinical utility and usability of the device. ;

Related Conditions & MeSH terms

• Disease
• Skin Condition
• Skin Diseases

• NCT number: NCT06237036
• Study type: Observational
• Source: AI Labs Group S.L
• Status: Completed
• Start date: March 3, 2022
• Completion date: October 23, 2023