While sleep hygiene is one piece of the much larger puzzle of overall wellness, it is crucial to understand its importance. There are steps that can be taken, both by the individual dispatcher and the center as a whole, that can help improve the sleep, and overall wellness.
The predictive value between the Medical Priority Dispatch System (MPDS) Stroke Diagnostic Tool (SDxT) and Paramedic-Initiated Stroke Activation (PISA) using the outcome of hospital diagnosis of stroke.
Fawkes has worked to develop an online testing tool that can predict success in resource allocation and by extension emergency telecommunication.
In emergency dispatching, pre-alerts are used to send responders to calls prior to getting a final dispatch code. This allows for early dispatch of responders although the incident type is not yet determined, and critical responder information such as safety hazards at the scene are typically unknown at this point in the calltaking process.
To determine if a free health clinic for medically underserved patients impacts the use of Emergency Medical Services (EMS) accessed through 911 utilization.
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.
Qualitative coding indicates some trends of shifting mindset of the leadership from self-awareness to developing an awareness of others who think and behave differently.
With drones, responders can cut down on call volume, ensure faster response times, improve the odds of calls for service outcomes to ensure not only responder safety but also the communities.
Does your agency participate in the IAED Data Center service?
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
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.
It is expected that some Protocols, such as Breathing Problems, represent an overall higher acuity than others, such as Sick Person.
