Rapid Assessment for Prehospital Triage of Evacuation and Medical Resources En Route Care Award (RAPTER ERCA)
Abstract
Our overall objective is to help both the military and civilian prehospital clinicians identify patients in the field that benefit from early evacuation and facilitate rapid triage, treatment, and allocation of resources. We will develop a clinical decision tool (CDT) to identify patients benefiting from early tactical evacuation using physiologic waveform data and anatomic injury patterns that predict the need for life-saving interventions (LSI), as well as validate patterns of physiologic data to predict early LSI using low size, weight, and power wearable sensor technology. In the first quarter reporting period we completed University of Pittsburgh IRB regulatory approvals, our initial retrospective phase HPRO approval. We made substantial progress in data processing and cleaning by identifying the retrospective phase patient cohort, cleaning, and processing the waveform data, and linking this to outcomes and in-hospital procedure data for the largest participating center. In the second quarter, we completed HRPO approval for the prospective phase of the study and established agreements with NOMA AI to proceed with model development. We completed linking to all the remaining trauma centers in the study cohort and identified the patients meeting inclusion and no exclusion criteria. These data were cleaned, and the electronic signals processed. We delivered the test data and the first tranche of data for model building to NOMA.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2023
- Accession Number
- AD1215443
Entities
People
- Francis X. Guyette
- Joshua B. Brown
Organizations
- University of Pittsburgh