The Infectious Disease Network (IDN): Development and Use for Evaluation of Potential Ebola Cases in Georgia.

In response to the 2014 Ebola virus disease (EVD) outbreak in West Africa, the Georgia Department of Public Health developed the Infectious Disease Network (IDN) based on an EVD preparedness needs assessment of hospitals and Emergency Medical Services (EMS) providers. The network consists of 12 hospitals and 16 EMS providers with staff specially trained to provide a coordinated response and utilize appropriate personal protective equipment (PPE) for the transport or treatment of a suspected or confirmed serious communicable disease patient. To become a part of the network, each hospital and EMS provider had to demonstrate EVD capabilities in areas such as infection control, PPE, waste management, staffing and ongoing training, and patient transport and placement. To establish the network, the Georgia Department of Public Health provided training and equipment for EMS personnel, evaluated hospitals for EVD capabilities, structured communication flow, and defined responsibilities among partners. Since March 2015, the IDN has been used to transport, treat, and/or evaluate suspected or confirmed serious communicable disease cases while ensuring health care worker safety. Integrated infectious disease response systems among hospitals and EMS providers are critical to ensuring health care worker safety, and preventing or mitigating a serious communicable disease outbreak. (Disaster Med Public Health Preparedness. 2018;12:765-771).

The FAST-ED App: A Smartphone Platform for the Field Triage of Patients With Stroke.

BACKGROUND AND PURPOSE: The Emergency Medical Services field triage to stroke centers has gained considerable complexity with the recent demonstration of clinical benefit of endovascular treatment for acute ischemic stroke. We sought to describe a new smartphone freeware application designed to assist Emergency Medical Services professionals with the field assessment and destination triage of patients with acute ischemic stroke. METHODS: Review of the application's platform and its development as well as the different variables, assessments, algorithms, and assumptions involved. RESULTS: The FAST-ED (Field Assessment Stroke Triage for Emergency Destination) application is based on a built-in automated decision-making algorithm that relies on (1) a brief series of questions assessing patient's age, anticoagulant usage, time last known normal, motor weakness, gaze deviation, aphasia, and hemineglect; (2) a database of all regional stroke centers according to their capability to provide endovascular treatment; and (3) Global Positioning System technology with real-time traffic information to compute the patient's eligibility for intravenous tissue-type plasminogen activator or endovascular treatment as well as the distances/transportation times to the different neighboring stroke centers in order to assist Emergency Medical Services professionals with the decision about the most suitable destination for any given patient with acute ischemic stroke. CONCLUSIONS: The FAST-ED smartphone application has great potential to improve the triage of patients with acute ischemic stroke, as it seems capable to optimize resources, reduce hospital arrivals times, and maximize the use of both intravenous tissue-type plasminogen activator and endovascular treatment ultimately leading to better clinical outcomes. Future field studies are needed to properly evaluate the impact of this tool in stroke outcomes and resource utilization.