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Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric
Pilot Randomized Controlled Trial of PICTURE-Pediatric
Who can join
30 Days – 25 Years · All sexes
Full eligibility criteria
Inclusion Criteria - Patients:
* Age ≥30 days and ≤25 years
* Be on the general care wards of Mott Children's Hospital or boarding in the Emergency Department (ED), but admitted to a pediatric floor medical team. These will be enforced by these criteria:
1. Patient class: not emergency b. Patient level of care: not Intensive Care unit (ICU) c. Patient locations (per protocol)
Exclusion Criteria - Patients:
* Patients that do not meet the inclusion criteriaAbout the study
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.
What is being tested
- PICTURE-Pediatric scores and alerts (device)
- Control Arm - Scores and alerts hidden (other)
Sponsor: University of Michigan · Participants: 375 · Started: Feb 9, 2026
Contact the study team
- Jay Semerad · Phone: 734-647-4751
Official record on ClinicalTrials.gov — NCT07304050
Locations in the U.S.
| Michigan | University of Michigan, Ann Arbor |
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.