Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric

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.

NCT Number	NCT07304050
Lead Sponsor	University of Michigan
Conditions	Clinical Deterioration
Enrollment	375 participants
Start Date	2026-02-09
Primary Completion	2027-01 (estimated)
Study Completion	2027-01 (estimated)
Updated on ClinicalTrials.gov	2026-03-05