ryan strum, PhD(c), acp
trainee
Ryan Strum is a Postdoctoral Fellow at the Research Institute of St. Joe's Hamilton (RSJH) and an advanced care paramedic. Ryan's research focus's on classifying and describing avoidable emergency department visits; visits that could have been safely and effectively managed in non-ED healthcare settings. Ryan uses quantitative and machine learning methodology to analyze large healthcare datasets.
Contact Ryan at: strumr@mcmaster.ca.
links to media coverage of ryan’s research
opiod-related ED visits
paramedicine
Selected Publications
Strum RP, Drennan IR, Mowbray FI, Mondoux S, Worster A, Babe G, Costa AP. Increased demand for paramedic transports to the emergency department in Ontario, Canada: a population-level descriptive study from 2010 to 2019. CJEM. 2022 Nov;24(7):742-750. doi: 10.1007/s43678-022-00363-4.
Strum RP, Costa AP. Implementing machine learning in paramedicine. CMAJ. 2022 Jan 17;194(2):E54. doi: 10.1503/cmaj.80405.
Strum RP, Tavares W, Worster A, Griffith LE, Costa AP. Emergency department interventions that could be conducted in subacute care settings for patients with nonemergent conditions transported by paramedics: a modified Delphi study. CMAJ Open. 2022 Jan 11;10(1):E1-E7. doi: 10.9778/cmajo.20210148.
Strum RP, Mondoux S, Mowbray FI, Miller P, Worster A, Ferron R, Costa AP. Quantifying the escalating impact of paramedic transported emergency department visits for opioid-related conditions in Ontario, Canada: A population-based cohort study. PLoS One. 2023 Sep 8;18(9):e0291194. doi: 10.1371/journal.pone.0291194.
Strum RP, Mowbray FI, Mondoux SE, Costa AP. Evaluating emergency department transfers from urgent care centres: insights for paramedic integration with subacute healthcare. BMJ Open Qual. 2023 Mar;12(1):e002160. doi: 10.1136/bmjoq-2022-002160.
Research keywords
epidemiology, emergency department, paramedicine, big data, classification systems