Predicting ICU Transfers and Other Unforeseen Events (PICTURE)-Pediatric
ConditionClinical Deterioration
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age30-25
SponsorUniversity of Michigan
About this trial
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.
Eligibility criteria
Qualifiers
Age ≥30 days and ≤25 years
Patient class: not emergency b. Patient level of care: not Intensive Care unit (ICU) c. Patient locations (per protocol)
Disqualifiers
Patients that do not meet the inclusion criteria
Trial design
Treatments tested in this trial
- PICTURE-Pediatric scores and alerts
- Control Arm - Scores and alerts hidden
Treatment groups
375 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov