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
Published on: January 15, 2017
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.
Introduction:
Interprofessional simulation (IP-Sim) training in crisis resource management (CRM) is widely used to improve team performance. Emerging social sensor-based technology and measurement provide an opportunity to enhance IP-Sim. Using these methods, signals generated by team members in action are collected, analyzed, and presented in a debriefing session as visual aids and statistics that summarize behavioral markers of teamwork and taskwork. We developed a novel social sensor-based measuring system and tested it in a pilot study to demonstrate its feasibility, acceptance, and relevance during IP-sim in CRM.
Methods:
During 6 immersive scenario-based IP-Sim sessions, we gathered both quantitative (survey) and qualitative (videotaped debriefing) postsimulation exposure data. Six experimental teams, each containing 3 trainees (2 nurses and 1 physician), were involved in a scenario in which a life-threatening emergency in a hospital setting had to be identified and managed.
Results:
By conducting successful deployment in a simulated environment, we demonstrated the viability of the proposed system and outlined the remaining obstacles (feasibility check). We documented users' successful and unsuccessful methods for incorporating the solution into existing training frameworks (acceptability check). In addition, we determined how users interpreted behavioral markers during debriefing such as space occupation, gaze dynamics, and verbal interaction to improve situational awareness and common understanding (relevance check).
Conclusions:
We detailed the conditions under which a new sensor-based approach can be successfully integrated into immersive scenario-based simulation and identified areas for further development. The findings indicated that social sensor technology and measurement have the potential to enhance the overall experience of IP-Sim sessions in CRM.
Related Concept Videos
SBAR II: Application of SBAR
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...
Nursing Clinical Information System
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:

