To all Paramedics!
Have you ever thought of going to the NAEMSP conference? Follow the link here for your chance to get registration and travel expenses paid for to sunny San Diego in January 2020. Deadline is November 15th to apply for this scholarship. There is generally a large Canadian contingent with a Distinctly Canadian workshop. Good luck!
It's YOUR Clinical Research Training Course!
Join us at the 14th annual Clinical Research Training Course at the Ottawa Hospital Research Institute. It's your Clinical Research Training Course!
The day's events will take place in the Amphitheatre at the Civic Campus of The Ottawa Hospital, and in nearby rooms for the afternoon workshops.
Version 4.6 of the ALS PCS represents a “partial update” as per the Living Document Framework and comes into force as of September 3, 2019. The standard, along with a complete Summary of Changes, can be downloaded here.
Download the current ALS PCS here
The Regional Paramedic Program for Eastern Ontario (RPPEO) is pleased to announce that the St. Francis Xavier Diploma in Adult Education will be offered in part at our location in Ottawa in 2019.
The modules will begin September 26, 2019. You may join the program at modules 1, 2, 3, or 4.
We are very happy to present the RPPEO Annual Dissemination Activities Report: Research, Quality & Education 2018-2019!
This report provides an overview of program’s innovation successes over the year by highlighting education, quality and research department’s initiatives and dissemination activities. RPPEO Paramedics, educators, research personnel, quality coordinators and personnel and Medical Directors are all included in this report; our teamwork and collaboration is integral to the continued success of our projects and our program.
The Canadian EMS Research Network (CERN-RCRSP) would like to invite you to our 2019 Symposium on Monday, May 6, 2019 in Vancouver BC.
Explore the trends, issues, and potential in big data in paramedic research. Learn about big data research in paramedicine across Canada. Critically examine the limitations, barriers, and cautions when using big data.