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Related Concept Videos

SBAR II: Application of SBAR01:14

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SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Related Experiment Video

Updated: Sep 12, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Innovative Sensor-Based Technology and Measurement Solution for Interprofessional Simulation in Crisis Resource

Donald Glowinski1, Florian Buchheit, Emmanuel Badier

  • 1From the La Source School of Nursing (D.G.), HES-SO University of Applied Sciences and Arts Western Switzerland, Delemont, Switzerland; Swiss Center for Affective Sciences (D.G., F.B., E.B.), University of Geneva, Geneva, Switzerland; Emergency Unit, Department of Acute Medicine (J.C.), Geneva University Hospitals, Geneva, Switzerland; Geneva School of Health Sciences (S.B.), HES-SO University of Applied Sciences and Arts Western Switzerland, Delemont, Switzerland; Center for Interprofessional Simulation (S.B., T.F.), Geneva, Switzerland; Faculty of Medicine (T.F.), University of Geneva, Geneva, Switzerland; and Department of Internal Medicine for the Aged (T.F.), Geneva University Hospitals, Geneva, Switzerland.

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare
|August 7, 2025
PubMed
Summary
This summary is machine-generated.

Social sensor technology enhances interprofessional simulation (IP-Sim) for crisis resource management (CRM) training. This pilot study demonstrated the feasibility, acceptance, and relevance of a novel sensor system for improving teamwork and taskwork in simulated emergencies.

Keywords:
Interprofessional education [MeSH]crew resource managementdata science [MeSH]debriefinghealth care [MeSH]sensor-based technology and measurement solutionssimulation training [MeSH]

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Area of Science:

  • Healthcare Simulation
  • Human Factors Engineering
  • Teamwork and Communication

Background:

  • Interprofessional simulation (IP-Sim) is crucial for crisis resource management (CRM) team performance.
  • Social sensor technology offers novel methods for collecting and analyzing behavioral data during IP-Sim.
  • This study piloted a new social sensor system to assess its utility in enhancing IP-Sim.

Purpose of the Study:

  • To demonstrate the feasibility, acceptance, and relevance of a novel social sensor-based measuring system for IP-Sim in CRM.
  • To evaluate the system's ability to capture and present behavioral markers of teamwork and taskwork.
  • To identify conditions for successful integration and areas for future development.

Main Methods:

  • Conducted 6 immersive, scenario-based IP-Sim sessions with 6 experimental teams (2 nurses, 1 physician each).
  • Collected quantitative (surveys) and qualitative (videotaped debriefings) data post-simulation.
  • Deployed a novel social sensor system to gather real-time behavioral data.

Main Results:

  • Successfully deployed the social sensor system in a simulated environment, demonstrating viability.
  • Documented user methods for integrating the system, assessing its acceptability.
  • Determined user interpretation of behavioral markers (e.g., space, gaze, verbal interaction) for improved situational awareness.

Conclusions:

  • A new sensor-based approach can be integrated into immersive, scenario-based simulation under specified conditions.
  • Social sensor technology and measurement show potential to enhance the overall IP-Sim experience in CRM.
  • Identified areas for further development of sensor-based systems in healthcare simulation.