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Virtual Reality in Medicine: Has Simulation found
a home
1Harrington CM, 1Kavanagh DO, 2Quinlan JE, 1Ryan D, 3Dicker P, 1Dunphy C, 1O’Keefe D, 1Traynor O, 1Tierney S.
1Dept. of Surgical Affairs, RCSI 2Dept. of Trauma & Orthopaedic Surgery, AMNCH
3Dept of Epidemiology & Public Health, RCSI
NASCE Dublin 2016
Surgical Simulators
• Significantly underutilised*
1. Lack of simulator availability
2. Lack of Enjoyment/Interest Factor
3. Time commitments
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* Chang et al, Surg Endosc.
2007;21:418-21
Trends in Virtual Reality
• VR predictions*
– Tens of Billions of revenue
– 2016 a Year of experimentation
– “Multiple applications for healthcare”
– Both PC and mobile compatible devices
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*Lee P. TMT Predictions 2016
report. Virtual reality (VR): a billion
dollar niche. Deloitte
Oculus Virtual Reality
• Fully Immersive
• ≈ €100 per headset
• Small & Portable
• Integrates with Smart-phone
• Hand representation pending
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RCSI Medical Simulator
• Moulage-Based
• Fully Interactive
• Decision-Making
• ATLS Trauma Guidelines
• Simulator Scores
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Evidence of Validation
• ATLS Course 2016
– 11 Instructors (84.6%) and 19 Candidates (86.4%)
– Standardised 360o video orientation followed by
Simulator trial
– Scores Correlated with expertise
– Electronic Feedback after completion
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Participant Demographics
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Survey Data Instructors
(n=10) Candidates
(n=16) Total
(n=26) Age 49.1 ± 9.9 32.5 ± 5.3 38.9 ± 11 Gender -Male -Female
9 (90) 1 (10)
12 (75) 4 (25)
21 (80.8) 5 (20.2)
Speciality -Orthopaedics & Trauma -Emergency Medicine -Anaesthesiology -General Surgery -Internship
4 (40) 4 (40) 1 (10) 1 (10)
-
4 (25) 7 (43.75)
- 4 (25)
1 (6.25)
8 (30.8)
11 (42.3) 1 (3.85) 5 (19.2) 1 (3.85)
Grade -Consultant -Specialist Registrar -Registrar -Senior House Officer -Intern
9 (90) 1 (10)
- - -
-
2 (12.5) 5 (31.25)
8 (50) 1 (6.25)
9 (34.6) 3 (11.5) 5 (19.2) 8 (30.8) 1 (3.85)
Experience with Virtual Reality HMD
1 (10) 2 (12.5) 3 (11.5)
Handedness -Right -Left
10 (100)
-
14 (87.5) 2 (12.5)
24 (92.3)
2 (7.7) *Mean ± SD, n (percent in parentheses)
Simulator Outcomes
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Analysis of simulator variables
Instructors (n=7)
Candidates (n=15) p-value*
No of Virtual-Patient Deaths Mean 0-1 Deaths 2 Deaths 3+ Deaths No of Correct Decisions No of Incorrect Decisions Percentage decisions-made that were incorrect No of Correct Diagnoses No of Incorrect Diagnoses Time (seconds)
0.86 ± 0.69 6 (85.7%) 1 (14.3%) 0 (0.0%)
21.86 ± 1.46
2.0 ± 1.53
8.27 ± 6.21
6.43 ± 0.78
1.14 ± 1.07
849.7 ± 11.3
2.87 ± 2.36 5 (33.3%) 3 (20.0%) 7 (46.7%)
20.87 ± 1.96
4.60 ± 3.25
17.18 ±10.09
6.13 ± 0.92
1.40 ± 1.18
857.7 ± 163.9
0.007
0.049
0.435
0.711
0.045
0.882
1.000
0.920
Mean ± SD, *Student’s t-test/Fisher’s exact test
Conclusion
• Successful development of a VR concept medical training simulator.
• Evidence of Validation.
• High level of public utilisation.
• A foundation for future medical applications.
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Acknowledgements
• Mr. Dara Kavanagh
• Mr. Donncha Ryan
• Prof. Oscar Traynor
• Prof. Sean Tierney
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• Mr. John Quinlan
• Mr. Patrick Dicker
• Ms. Dara O’Keeffe
• Mr. Conor Dunphy
Virtual Reality in Medicine: Has Simulation found
a home
1Harrington CM, 1Kavanagh DO, 2Quinlan JE, 1Ryan D, 3Dicker P, 1Dunphy C, 1O’Keefe D, 1Traynor O, 1Tierney S.
1Dept. of Surgical Affairs, RCSI 2Dept. of Trauma & Orthopaedic Surgery, AMNCH
3Dept of Epidemiology & Public Health, RCSI
NASCE Dublin 2016