The use of remote and traditional faciliation to evaluate telesimulation to support interprofessional education and processing in healthcare simulation training

Coy Collins, Marissa Lovett, David Biffar, Allan Hamilton, Karen Holder, Mike Holcomb, Peter Yonsetto, Ronald Weinstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This pilot study appraised traditional versus remote facilitation via telesimulation for an established interprofessional training at two geographically separate sites. Participant feedback was captured via 5- point Likert scale surveys. Results demonstrate learners supported the use of remote facilitation: to meet the interprofessional learning objectives, as an adequate replacement for live facilitation and to implement simulation education in low-resource or low-facilitator areas. Improvements were suggested for audio connectivity between participants. In conclusion, the program evaluation suggests that telesimulation, with remote and traditional facilitation, is an effective strategy to provide interprofessional simulation education. Improvements identified are to standardize the set-up of audio/visual technology and tailor participant orientation to encourage meaningful dialogue between sites.

Original languageEnglish (US)
Title of host publication2019 Spring Simulation Conference, SpringSim 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781510883888
DOIs
StatePublished - Apr 2019
Event2019 Spring Simulation Conference, SpringSim 2019 - Tucson, United States
Duration: Apr 29 2019May 2 2019

Publication series

Name2019 Spring Simulation Conference, SpringSim 2019

Conference

Conference2019 Spring Simulation Conference, SpringSim 2019
Country/TerritoryUnited States
CityTucson
Period4/29/195/2/19

Keywords

  • Interprofessional education
  • Medical simulation
  • Remote facilitation
  • Telesimulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Modeling and Simulation

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