Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric
Recruiting
N/AInterventional Study
Clinical Deterioration
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Ready to participate?
Review the details below, then apply to join this clinical trial.
At a Glance
Age
30 Days – 25
Sex
Any
Study type
Interventional
Purpose
Supportive Care
Participants needed
375 (estimated)
Sponsor
University of Michigan · Other
Who this trial is looking for
This trial is looking for patients aged 30 days to 25 years who are staying in Mott Children's Hospital's general care wards or Emergency Department. Taking part involves clinicians reviewing information from an AI system that helps spot health problems early.
Are You a Good Fit for This Trial?
You may be able to join if
I am between 30 days and 25 years old
I am a patient at Mott Children's Hospital
I am not in the Intensive Care Unit
I am being cared for by a pediatric floor medical team
You may not be able to join if
I do not meet the age requirement
I am in the Intensive Care Unit
I am not a patient at Mott Children's Hospital
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer three quick questions written from this study's own rules to see if you may qualify. No account needed to find out.
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 …
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.
Trial Locations
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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. Patien…
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 criteria
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