Ignite Creation Date:
2025-12-25 @ 2:50 AM
Ignite Modification Date:
2025-12-26 @ 1:31 AM
Study NCT ID:
NCT05485233
Status:
UNKNOWN
Last Update Posted:
2022-08-03
First Post:
2022-07-01
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Redscar © Application for Detection of Infected Surgical Wounds
Sponsor:
Hospital Son Espases
Organization:
Study Overview
Official Title:
Evaluation of Redscar © Application for Detection and Monitoring Potentially Infected Surgical Wounds: a Quasy-experimental Study Protocol
Status:
UNKNOWN
Status Verified Date:
2022-07
Last Known Status:
ENROLLING_BY_INVITATION
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Surgical site infection (SSI) is the second cause of healthcare-associated infections (HAIs). Its appearance increase mobidity and post-operatice hospital stays, increasing costs aswell, although its one of the most preventable HAI.
The diagnosis and detection of SSI is usually carried out late by non-especialists once the patient has consulted to the emergency services or primary care with an already obvious infections. This raise both the direct and indirect costs and saturaties the emergency department and primary care, while delays treatment and increase disconfort and morbidity.
A smart phone aplication (RedScar© ) was developped in order to detect and monitor wound infection remotely based on an automated algorithm with no medical intervention.This app allows the patient to upload a photography and answer a short questionary, the aplication will then give a diagnosis of possible infection and recommendations.
This study is the first one to use a smartphone-based automatic aplication on real patients to diagnosis wound infection . This is a prospective, single-institution not randomized quasy-experimental study protocol. The study design and protocol were reviewed and approved by Research Ethics Committee of the Balearic Islands (CEI-IB).
This paper is part of the R+D+i Project PID2020-113870GB-I00- "Desarrollo de herramientas de Soft Computing para la Ayuda al Diagnóstico Clínico y a la Gestión de Emergencias (HESOCODICE)", funded by MCIN/AEI/10.13039/501100011033/.
The diagnosis and detection of SSI is usually carried out late by non-especialists once the patient has consulted to the emergency services or primary care with an already obvious infections. This raise both the direct and indirect costs and saturaties the emergency department and primary care, while delays treatment and increase disconfort and morbidity.
A smart phone aplication (RedScar© ) was developped in order to detect and monitor wound infection remotely based on an automated algorithm with no medical intervention.This app allows the patient to upload a photography and answer a short questionary, the aplication will then give a diagnosis of possible infection and recommendations.
This study is the first one to use a smartphone-based automatic aplication on real patients to diagnosis wound infection . This is a prospective, single-institution not randomized quasy-experimental study protocol. The study design and protocol were reviewed and approved by Research Ethics Committee of the Balearic Islands (CEI-IB).
This paper is part of the R+D+i Project PID2020-113870GB-I00- "Desarrollo de herramientas de Soft Computing para la Ayuda al Diagnóstico Clínico y a la Gestión de Emergencias (HESOCODICE)", funded by MCIN/AEI/10.13039/501100011033/.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: