Automatic Sensing for Clinical Documentation (ASCD)

Abstract

Current communication methods and clinical documentation during from the point-of injury through the phases of care in the militarys operational environment continues to be incomplete, inaccurate, and hinders receiving facilities ability to rapidly gain situational awareness of the patients. This project is developing a novel hands-free system that automatically detects the motion signatures associated with key clinical tasks to generate and transmit a care record in real-time that ensures better, more consistent, and clear communication among care teams.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2021
Accession Number
AD1141232

Entities

People

  • Candace Mcnaughton
  • Christopher Simpson
  • Daniel V. Fabbri
  • Deidre Scully
  • Deirdre Scully
  • Devin Rickard
  • Jamison Heard
  • Joseph Coco
  • Julie Adams
  • Laurie Novak
  • Robert Bodenheimer

Organizations

  • Vanderbilt University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Airway Management
  • Body Regions
  • Cardiopulmonary Resuscitation
  • Cardiovascular Physiological Phenomena
  • Combat Casualty Care
  • Computational Science
  • Computer Programming
  • Computers
  • Data Analysis
  • Data Storage Systems
  • Detection
  • Health Services
  • Inertial Measurement Units
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Military Hospitals
  • Network Science
  • Neural Networks
  • Therapy
  • Thorax
  • Wearable Technology

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Medical or Health Care Field.
  • Systems Analysis and Design