How to enhance psychological fidelity in simulation-based medical education

2017 ◽  
Vol 51 (11) ◽  
pp. 1179-1179 ◽  
Author(s):  
Ágnes Blaskó ◽  
Krisztina Komlós ◽  
Gábor Fritúz ◽  
János Gál
Keyword(s):  
Medical Education ◽  
Simulation Based

52. Simulation based training improves resident competence in the performance of critical resuscitation procedures

2007 ◽  
Vol 30 (4) ◽  
pp. 56
Author(s):  
I. Rigby ◽  
I. Walker ◽  
T. Donnon ◽  
D. Howes ◽  
J. Lord
Keyword(s):  
Internal Medicine ◽  
Emergency Medicine ◽  
Medical Education ◽  
Family Medicine ◽  
Training Program ◽  
Correlation Coefficient ◽  
Training Programs ◽  
Self Assessment ◽  
Procedural Skills ◽  
Simulation Based

We sought to assess the impact of procedural skills simulation training on residents’ competence in performing critical resuscitation skills. Our study was a prospective, cross-sectional study of residents from three residency training programs (Family Medicine, Emergency Medicine and Internal Medicine) at the University of Calgary. Participants completed a survey measuring competence in the performance of the procedural skills required to manage hemodynamic instability. The study intervention was an 8 hour simulation based training program focused on resuscitation procedure psychomotor skill acquisition. Competence was criterion validated at the Right Internal Jugular Central Venous Catheter Insertion station by an expert observer using a standardized checklist (Observed Structured Clinical Examination (OSCE) format). At the completion of the simulation course participants repeated the self-assessment survey. Descriptive Statistics, Cronbach’s alpha, Pearson’s correlation coefficient and Paired Sample t-test statistical tools were applied to the analyze the data. Thirty-five of 37 residents (9 FRCPC Emergency Medicine, 4 CCFP-Emergency Medicine, 17 CCFP, and 5 Internal Medicine) completed both survey instruments and the eight hour course. Seventy-two percent of participants were PGY-1 or 2. Mean age was 30.7 years of age. Cronbach’s alpha for the survey instrument was 0.944. Pearson’s Correlation Coefficient was 0.69 (p < 0.001) for relationship between Expert Assessment and Self-Assessment. The mean improvement in competence score pre- to post-intervention was 6.77 (p < 0.01, 95% CI 5.23-8.32). Residents from a variety of training programs (Internal Medicine, Emergency Medicine and Family Medicine) demonstrated a statistically significant improvement in competence with critical resuscitation procedural skills following an intensive simulation based training program. Self-assessment of competence was validated using correlation data based on expert assessments. Dawson S. Procedural simulation: a primer. J Vasc Interv Radiol. 2006; 17(2.1):205-13. Vozenilek J, Huff JS, Reznek M, Gordon JA. See one, do one, teach one: advanced technology in medical education. Acad Emerg Med. 2004; 11(11):1149-54. Ziv A, Wolpe PR, Small SD, Glick S. Simulation-based medical education: an ethical imperative. Acad Med. 2003; 78(8):783-8.

PO-0690 Teaching Project In Neonatology Using Simulation-based Medical Education In Laos

2014 ◽  
Vol 99 (Suppl 2) ◽  
pp. A479.2-A479
Author(s):  
H Sabir ◽  
S Brenner ◽  
MB Schmid ◽  
T Kuehn ◽  
D Phouvieng ◽  
...  
Keyword(s):  
Medical Education ◽  
Simulation Based

The future of simulation based medical education: Adaptive simulation utilizing a deep multitask neural network

2021 ◽  
Author(s):  
Aaron J. Ruberto ◽  
Dirk Rodenburg ◽  
Kyle Ross ◽  
Pritam Sarkar ◽  
Paul C. Hungler ◽  
...  
Keyword(s):  
Neural Network ◽  
Medical Education ◽  
Adaptive Simulation ◽  
Simulation Based ◽  
The Future

Simulation-Based Medical Education

2003 ◽  
Vol 78 (8) ◽  
pp. 783-788 ◽  
Author(s):  
Amitai Ziv ◽  
Paul Root Wolpe ◽  
Stephen D. Small ◽  
Shimon Glick
Keyword(s):  
Medical Education ◽  
Simulation Based

scholarly journals The Central Simulation Committee (CSC): A Model for Centralization and Standardization of Simulation-Based Medical Education in the U.S. Army Healthcare System

2012 ◽  
Vol 177 (7) ◽  
pp. 829-835 ◽  
Author(s):  
Shad Deering ◽  
Taylor Sawyer ◽  
Jeffrey Mikita ◽  
Douglas Maurer ◽  
Bernard J. Roth
Keyword(s):  
Medical Education ◽  
Healthcare System ◽  
Simulation Based ◽  
The U.S
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