Advanced Notification to Trauma Center of Blood Product Needs to Improve Patient Outcomes (ONPOINT 3)

Abstract

This project built predictive algorithms from pre-hospital physiological data and refined them. The algorithms have been compared with basic clinical rules, other scoring systems such as Shock Index (SI), Assessment of Blood Consumption (ABC) and Revised Trauma Score (RTS). The predictions derived from pre-hospital data are also compared with the corresponding TRU initial 15 minutes. Results show that pre-hospital data have predictive power for early decision-making support. Miniature devices for data acquisition and feature calculation have been tested and demonstrated to work.

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Document Details

Document Type
Technical Report
Publication Date
Aug 10, 2021
Accession Number
AD1164848

Entities

People

  • Catriona Miller
  • Peter Hu
  • Shiming Yang

Organizations

  • University of Maryland, Baltimore

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Blood Transfusions
  • Brain Injuries
  • Cardiovascular Physiological Phenomena
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Mining
  • Electrocardiography
  • Health Services
  • Heart Rate
  • Hospitals
  • Information Science
  • Medical Personnel
  • Mobile Devices
  • Physiological Monitoring
  • Vital Signs

Fields of Study

  • Medicine

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation
  • Trauma or Military Medicine