Actively Recruiting
Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric
Led by University of Michigan · Updated on 2026-03-05
375
Participants Needed
1
Research Sites
46 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The purpose of this study is to evaluate the effectiveness and user satisfaction of the study teams early warning system, called PICTURE, which utilizes artificial intelligence (AI) techniques and algorithms to identify patient deterioration on pediatric units within Mott Children's Hospital. In this pilot study the patient care team will review the PICTURE information and alerts. Morning rounds will be partially informed by the PICTURE scores and the scores will be included in the hand off notes for the patients with a red score. The primary purpose of this study is to test the hypothesis that the combination of the PICTURE-Pediatric model, the proposed workflow and the proposed interface results in at least 80% compliance. No participants will be consented as the Institutional review board has approved a waiver of consent for THE clinicians and the patients information being reviewed. The enrollment numbers will include only the clinicians.
CONDITIONS
Official Title
Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 30 days to 25 years
- Patients admitted to the general care wards of Mott Children's Hospital or boarding in the Emergency Department but assigned to a pediatric medical team
- Patient class is not emergency
- Patient level of care is not Intensive Care Unit (ICU)
- Patient location matches protocol-specific areas
You will not qualify if you...
- Patients who do not meet all inclusion criteria
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
University of Michigan
Ann Arbor, Michigan, United States, 48109
Actively Recruiting
Research Team
J
Jay Semerad
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
FACTORIAL
Primary Purpose
SUPPORTIVE_CARE
Number of Arms
2
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