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Research Posters

Combating Sedentary Health Risks in Emergency Communication Centers: The Critical Role of Daily Movement

James Bohon, Michael Coffey, Brittany Farrell, Megan Hoggard, Matthew Gentile

Apr 18, 2025|Research Posters

Over the years, there has been a downward trend in the prevalence of deaths from heart disease, attributed to improved healthcare access, advancements in sanitation, and a reduction in smoking (Centers for Disease Control and Prevention [CDC], 1999). However, recent data indicate a concerning reversal in this trend, with an increase in heart disease-related deaths (Martin et al., 2024).

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Improving 911 Police Call-Taking in Cincinnati: Implementing a Structured, Protocol-Based System—A Before and After Comparative Study

Bill Vedra, Karli Piper, Greg Scott, MBA, EMD-QI, Angela Huddle, Jason Barbour, John O’Connell, Ty Wooten, Matt Miko, Jeff Clawson, MD, Chris Olola, PhD

Apr 15, 2025|Research Posters

To improve efficiency and prioritization of its 911 police calls, the City of Cincinnati, Ohio, USA, implemented the Standardized, Protocol-based Police Priority Dispatch System (PPDS®) in its Emergency Communications Center (ECC) on March 1st, 2023. After a year of use, call-processing time and call-prioritization efficiency were compared to the previously used system.

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Beyond self-assessment: Leveraging business intelligence for Personal growth

A. Furgani, M. Brillante, M. Capurro, A. Fadigati, S. Iacometti, G. Poloni, D. Stasi, P. Frisoni

Apr 23, 2024|Research Posters

Emergency Operations Centers generate enormous volumes of information daily. Unfortunately, much of this data remains archived without undergoing careful analysis. However, well-managed and reliable data can lead to trustworthy analyses and, consequently, reliable decisions. It’s essential to recognize that individual self-perception of performance may not perfectly align with data-driven evaluations. These evaluations represent a robust and structured method for raising awareness and, perhaps, achieving quality improvement

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Designing a transformative approach to prevent psychopathologies among EMS frontliners.

Thérésa J Choisi EMD-Q MSc, Gabriel Potvin, Aman Verma, Hélène Brouillet M, Luc de Montigny PhD, Mathieu Campbell, Marine Tessier, David Buckeridge

Apr 23, 2024|Research Posters

Burnout prevalence among healthcare workers has skyrocketed worldwide in the recent years. Machine learning can help to act upstream and therefore prevent psychopathologies by predicting compromised wellness among EMS frontliners.

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