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Information Seeking and Sensemaking in Emergency Medical Service through Simulation Video Review
Zhan Zhang1, Karen Joy1, Aastha S Bhadani1
1Pace University, New York, NY, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 15, 2024
Summary
Emergency medical services (EMS) providers need better technology for sensemaking. This study analyzed EMS simulations to identify information needs and challenges, aiming to improve decision support in critical care.
Area of Science:
- Medical informatics
- Human-computer interaction
- Emergency medicine
Background:
- Emergency medical services (EMS) face significant information processing challenges.
- Limited technical support exists for EMS providers in critical care settings.
- Understanding EMS sensemaking is crucial for developing effective decision support tools.
Purpose of the Study:
- To examine the detailed process of sensemaking in emergency medical services.
- To identify information types, work practices, and challenges in EMS decision-making.
- To inform the design of technological solutions for EMS.
Main Methods:
- Analysis of 25 video recordings of emergency medical services simulations.
- Qualitative examination of information collection, integration, and sensemaking.
- Identification of temporal patterns and challenges in EMS work.
Main Results:
- Detailed insights into the types of information and situations encountered by EMS providers.
- Characterization of EMS work practices and the temporal dynamics of sensemaking.
- Identification of key challenges in EMS information processing and decision-making.
Conclusions:
- Effective decision support technology is needed to aid EMS providers in rapid information acquisition.
- Understanding the nuances of EMS sensemaking is critical for technological innovation.
- Opportunities exist to enhance technology for time-critical, high-risk medical environments.
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