Status:
UNKNOWN
Identifying Local Signs at the Catheter Insertion Site With Artificial Intelligence
Lead Sponsor:
Outcome Rea
Collaborating Sponsors:
Assistance Publique - Hôpitaux de Paris
National Network Surveillance and Prevention of Infections Associated with Invasive Devices SPIADI
Conditions:
Catheter Infection
Eligibility:
All Genders
18+ years
Brief Summary
Deepcath is the first step to the introduction of artificial intelligence in catheter care. A better use of visualisation of catheter exit site should be used not only by the HCWs but also by the pati...
Eligibility Criteria
Inclusion
- Patients over 18 years of age Patients with one or more implanted central venous, midline, piCCline, arterial, or peripheral catheters.
- Patient and/or trusted person and/or family who have verbally stated their non-objection to the study Patient affiliated or beneficiary of a social security plan
Exclusion
- Patients presenting a peripheral identification sign close to the catheter insertion point cannot be masked when the photograph is taken. Thus, jewelry, clothing, tattoos, scars, and birthmarks are identifying features.
- Patients whose catheter insertion point is not visible.
Key Trial Info
Start Date :
September 1 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2023
Estimated Enrollment :
1000 Patients enrolled
Trial Details
Trial ID
NCT05440396
Start Date
September 1 2022
End Date
December 31 2023
Last Update
October 25 2022
Active Locations (4)
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1
CHU Grenoble Alpes
Grenoble, Isère, France, 38000
2
CHU Clermont-Ferrand
Clermont-Ferrand, Puy-de-Dôme, France, 63000
3
Réseau RéPIAS SPIADI
Tours, France
4
Hôpital Bichat - Claude-Bernard
Paris, Île-de-France Region, France, 75018