High-fidelity simulation model developed to assess impact of new technologies in critical care setting.

CONTEXT:  Not our usual RWR based story, but another example of the increasing use of “in-silico” studies to develop healthcare insights.  This paper published in Crit Care Explor. details the development of a standardised simulation model for use in studying caregiver decision-making and performance, training requirements and technology use in prolonged casualty care.  This model focused on hypoxia in critical care but the authors feel the model can be used to compare differences in the impact of new technologies on caregiver performance as well as simulated patient outcomes.
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1. “U. S. caregivers working in prehospital, resource-limited settings may need to manage patients for extended periods (hours to days). ” 

2. “This article was originally published here Crit Care Explor. ” 

3. “eCollection 2021 Jul. ABSTRACT Most high-fidelity medical simulation is of limited duration, used for education and training, and rarely intended to study medical technology. ” 

4. “We sought to develop a standardized simulation model that accurately reflects prolonged casualty care in order to study caregiver decision-making and performance, training requirements, and technology use in prolonged casualty care. ” 

5. “SETTING: High-fidelity simulation laboratory. ” 

Source URL: https://www.docwirenews.com/abstracts/prolonged-high-fidelity-simulation-for-study-of-patient-care-in-resource-limited-medical-contexts-and-for-technology-comparative-effectiveness-testing/