A Cooperative Communication System for the Advancement of Safe, Effective, and Efficient Patient Care

Abstract

The Cooperative Communication System (CCS) is intended to improve patient care by supporting Burn ICU clinical decision making through computer-based decision and communication support. This project is divided into three phases: foundation research, prototype development, and prototype assessment. In Phase 1, we collected and analyzed data on clinician patient care and unit management, producing 39 requirements for the CCS. During Phase 2, we developed user-oriented use cases and information design prototypes based on Phase 1 findings. We also developed a programming prototype that translates the information designs organization and information into an interactive interface and reviewed it in January 2015 with 26 members of the USAISR clinical staff. The ARA machine learning team has developed approaches that survey patient data to detect patterns and trends that are clinically relevant. We are developing plans to evaluate software prototype usability at the USAISR, which is scheduled for early November. Army and Institutional Review Board requirements compliance has delayed project progress, and we have requested a no-cost extension through May 2016.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
AD1007941

Entities

People

  • Christopher Argenta
  • Christopher Nemeth
  • Josh Blomberg

Organizations

  • Applied Research Associates (United States)

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Computer Programming
  • Computers
  • Health Services
  • Human Factors Engineering
  • Information Systems
  • Medical Personnel
  • Military Medicine
  • Patient Care
  • Psychology

Fields of Study

  • Computer science

Readers

  • Clinical Trial Research.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Trauma or Military Medicine

Technology Areas

  • AI & ML