Development of an Integrated Team Training Design and Assessment Architecture to Support Adaptability in Health Care Teams

Abstract

It is the purpose of this project to optimize adaptability and mitigate teamwork-related threats to patient safety by addressing key methodological and conceptual gaps in healthcare simulation-based team training. The investigators are developing the necessary conceptual framework and team performance assessment mechanisms to support training systems that improve adaptability and performance in trauma teams. Aim 1a. Develop a team training design architecture to support simulation-based training/assessment systems capable of developing adaptive expertise in healthcare teams Aim 1b. Develop evidence-based guidelines and recommendations for the development of embedded, adaptive feedback and performance assessments Aim 2. Develop and refine a predictive model of trauma team performance and outcomes for use in an adaptive guidance system Major Findings: The investigators performed a four-step process to develop a unified team training design architecture and supporting conceptual framework. They identified key training design principles and recommendations for the development and implementation of embedded, adaptive feedback and performance assessment. The investigators designed a prototype of a Bayesian Belief Network (BBN)-based model of trauma team performance and outcomes. The investigators went through several model iterations and settled on one model for final testing. This testing and validation is near complete and will be finalized when prospective data coding is completed. This is the focus for the next quarter. Impact: The provision of emergency care in a combat situation mandates well-developed adaptive expertise, making this work relevant to military healthcare. Our work provides a roadmap and mechanism for future work in a multitude of healthcare teams and settings.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2018
Accession Number
AD1074282

Entities

People

  • Elizabeth D. Rosenman
  • James Grand
  • Rosemarie Fernandez

Organizations

  • University of Washington

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Best Practices
  • Cardiovascular Physiological Phenomena
  • Closed Loop Systems
  • Cognition
  • Cognitive Workload
  • Data Management
  • Data Set
  • Data Sets
  • Databases
  • Department Of Defense
  • Education
  • Emergency Medicine
  • Health Care
  • Health Services
  • Information Science
  • Instructions
  • Medical Personnel
  • Patient Care
  • Predictive Modeling
  • Psychology
  • Simulations
  • Situational Awareness
  • Students
  • Trainees
  • Training

Fields of Study

  • Medicine

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Trauma or Military Medicine

Technology Areas

  • AI & ML