R-TF-015-004 Clinical investigation plan
Scope
This Clinical Investigation Plan (CIP) outlines the rationale, objectives, design, and methodology for the clinical investigation.
CIP Identification
| CIP | |
|---|---|
| Title of the clinical investigation | Project to enhance Dermatology E-Consultations in Primary Care Centres using Artificial Intelligence Tools |
| Device under investigation | Legit.Health Plus |
| Protocol version | Version 1.0 |
| Date | 2022-06-29 |
| Protocol code | LEGIT.HEALTH_DAO_Derivación_PH_2022 |
| Sponsor | Instituto de Investigación Sanitaria Puerta de Hierro |
| Coordinating Investigator | Dr. Gastón Roustan Gullón |
| Principal Investigator(s) | Dr. Gastón Roustan Gullón |
| Investigational site(s) | Pozuelo and Majadahonda Health Centers and Puerta del Hierro Majadahonda University Hospital |
| Ethics Committee | Comité de Ética de la Investigación con Medicamentos del Hospital Universitario Puerta del Hierro de Majadahonda |
Trial Registrations
- ClinicalTrials.gov (NCT): NCT07429123
- EMA RWD Catalogue (EUPAS): EUPAS108166
Table of contents
- Scope
- CIP Identification
- Compliance statement
- Abbreviations and definitions
- CIP or protocol specifications
- Product Identification and Description
- Justification of the design
- Hypothesis
- Objectives
- Summary of the study
- Design and methods
- Ethical considerations
- CIP Modification
- CIP Deviations
- Start, follow-up and end reports
- Statements of compliance
- Informed Consent process
- Adverse events, adverse product reactions and product deficiencies
- Annexes
Compliance statement
The clinical investigation will be conducted according to the Clinical Investigation Plan (CIP) and other applicable guidances and regulations. This includes compliance with:
- The ethical principles originating from the
World Medical Association's Declaration of Helsinki - Harmonized standard
UNE-EN ISO 14155:2020 Regulation (EU) 2017/745 on medical devices (MDR), including the applicableGeneral Safety and Performance Requirements (GSPR)as outlined in Annex I, and the requirements ofAnnex XV(Chapter I and Chapter II, Section 3)- Harmonized standard
UNE-EN ISO 13485:2016 MDCG 2024-3for its structural and content expectations,MDCG 2021-8concerning application requirements, andMDCG 2020-10/1 Rev 1for safety reporting timelines and definitionsRegulation (EU) 2016/679(GDPR)- Spanish
Organic Law 3/2018on the Protection of Personal Data and guarantee of digital rights.
All data processing within the device is carried out in accordance with the highest standards of data protection and privacy. Patient information is managed in an encrypted manner to ensure confidentiality and security.
The research team assumes the role of Data Controller, responsible for the collection and management of study data. Legit.Health acts as the Data Processor and is not involved in the processing of patient data.
The storage and transfer of data comply with European data protection regulations. At the conclusion of the study, all information stored in the device will be permanently and securely deleted.
The device employs robust technical and organizational security measures to safeguard personal data against unauthorized access, alteration, loss, or processing.
Abbreviations and definitions
- AE: Adverse Event
- AEMPS: Spanish Agency of Medicines and Medical Devices
- AEP: Adverse Reaction to Product
- AUC: Area Under the ROC Curve
- CAD: Computer-Aided Diagnosis
- CMD: Data Monitoring Committee
- CIP: Clinical Investigation Plan
- CUS: Clinical Utility Questionnaire
- DLQI: Dermatology Quality of Life Index
- GCP: Standards of Good Clinical Practice
- ICH: International Conference of Harmonization
- IFU: Instructions For Use
- IRB: Institutional Review Board
- N/A: Not Applicable
- NCA: National Competent Authority
- PI: Principal Investigator
- PPV: Positive Predictive Value
- NPV: Negative Predictive Value
- SAE: Serious Adverse Events
- SAEP: Serious Adverse Event to Product
- SUAEP: Serious and Unexpected Adverse Event to the Product
- SUS: System Usability Scale
CIP or protocol specifications
Principal Investigator
- Dr. Gastón Roustan Gullón (Hospital Universitario Puerta del Hierro de Majadahonda).
Coordinating investigator
- Dr. Gastón Roustan Gullón (Hospital Universitario Puerta del Hierro de Majadahonda).
Collaborating Investigator(s)
- Hospital Universitario Puerta de Hierro de Majadahonda
- Dr. Ángel Rosell Díaz
- Centro de salud de Majadahonda
- Dr. Esther Minguela
- Centro de salud de Pozuelo
- Dr. Fernando León
Investigational sites
- Hospital Universitario Puerta de Hierro Majadahonda
- Centro de Salud de Majadahonda
- Centro de Salud de Pozuelo
Funding
This research was carried out without any funding or sponsorship.
Product Identification and Description
| Information | |
|---|---|
| Device name | Legit.Health Plus (hereinafter, the device) |
| Model and type | NA |
| Version | 1.1.0.0 |
| Basic UDI-DI | 8437025550LegitCADx6X |
| Certificate number (if available) | MDR 792790 |
| EMDN code(s) | Z12040192 (General medicine diagnosis and monitoring instruments - Medical device software) |
| GMDN code | 65975 |
| EU MDR 2017/745 | Class IIb |
| EU MDR Classification rule | Rule 11 |
| Novel product (True/False) | TRUE |
| Novel related clinical procedure (True/False) | TRUE |
| SRN | ES-MF-000025345 |
Justification of the design
Background and rationale
Skin-related conditions are a frequent cause of primary care consultations, accounting for around 5% of visits, placing a significant demand on healthcare resources. Primary care practitioners (PCPs) often lack specialized knowledge in dermatology, leading to discrepancies in diagnoses compared to dermatologists, with diagnostic agreement rates ranging between 57% and 65%. This diagnostic gap and the limited availability of dermatologists, especially in rural areas, make efficient management of skin conditions by PCPs essential to improve patient outcomes and reduce healthcare costs.
Additionally, the shortage of dermatologists (only 3 per 100,000 inhabitants) complicates access to specialists, leading to potential misdiagnoses and delays in care. Teledermatology, such as the teleDERMADRID project, has helped alleviate some of this burden by enabling remote consultations and reducing unnecessary referrals. However, further innovations are needed to enhance diagnostic accuracy at the primary care level and optimize patient referral processes.
This study aims to clinically validate an artificial intelligence (AI)-based tool designed to assist primary care practitioners in improving the appropriateness of dermatology referrals. By leveraging AI, the tool can enhance diagnostic accuracy, facilitate timely patient triage, and reduce unnecessary referrals, ultimately improving the efficiency of healthcare delivery and patient outcomes in dermatology.