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Emergent/Critical Care Imaging Simulation Resident Assessment and Training Tool
Linda Lanier, MD Associate Professor and Associate Chairman, Department of Radiology Chris Sistrom, MD, MPH, PhD Anthony A. Mancuso, MD Professor and Chairman, Department of Radiology
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Emergent/Critical Care Imaging Simulation
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What are we trying to Simulate?
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What are we trying to Simulate?
ALL of the skills necessary for service as a radiologist performing Emergent and Critical Care Imaging
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Observational skills Full DICOM image set ( 1-3000 images)
Image manipulation, optimal viewing All Modalities: CR, CT, CTA, US, MRI, MRA, NucMed, Fluoro All Systems: Body (Chest/Abdomen/Pelvis/GI/GU), Neuro/ENT, Pediatric, MSK, Vascular
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Confident Determination of Normal
Observational skills Confident Determination of Normal Downside of Overcall Comprehensive Search Pattern
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Confident Determination of Normal Identification of Key Findings
Observational skills Confident Determination of Normal Identification of Key Findings Critical/Important/Incidental Findings Clinical Context (WITH or WITHOUT History) Prioritize Findings
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Observational skills Confident Determination of Normal Identification of Key Findings Recognition of Acuity
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Confident Determination of Normal Identification of Key Findings
Observational skills Confident Determination of Normal Identification of Key Findings Recognition of Acuity Communication of Results - Actual Practice Phone/In person Report Clarity
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Confident Determination of Normal Identification of Key Findings
Observational skills Confident Determination of Normal Identification of Key Findings Recognition of Acuity Communication of Results - Simulation Response is Free Text Entry No multiple choice No cueing or ability to “game” responses No True/False
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Observational skills Confident Determination of Normal Identification of Key Findings Recognition of Acuity Communication of Results Initiate Appropriate action
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Observational skills Confident Determination of Normal Identification of Key Findings Recognition of Acuity Communication of Results Initiate Appropriate action Stamina
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Building the Case Library
Core Curriculum ( Topics) Collect and vet cases (10-20 cases per topic) Enter Case data into RCMS Grading key Reports
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Building Simulations
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The HOT SEAT
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Pick a case from the workflow …
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Free text response ….
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Select acuity level ….
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Submit case ….
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Oooops … need addendum ?
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Select a new case from workflow list …..
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The “Front End” PACS Workstation 8 Hour Shift 65 Cases
Typical Work Flow Style
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The “Front End” PACS Workstation 8 Hour Shift 65 Cases
Typical Work Flow Style (Minus the phone calls, interruptions …..)
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The “Back End”
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The “Back End” Tracking Capability
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Tracking Capability
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The “Back End” Tracking Capability Grading
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Grading Tool
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Results to Program Director
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Results to Program Director
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Results to Individual Residents
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Video Review of Cases Residents
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Emergent/Critical Care Imaging Simulation 2011-2014
YEAR SIMULATION Total # Residents R LEVELS INSTITUTIONS 2011 SIM 1 22 R1-12 R2-10 UF 2012 36 R1-20 R2-16 UF, UF-J, Mt. Sinai 2013 SIM1 66 R1-25 R2-24 R3-11 R4 -6 U Mississippi 2014 SIM 2 103 R1-63 R2-31 R3-6 R4-3 UF, UF-J, Mt Sinai SUNY, Creighton, Baylor-Dallas, Geisinger, U Kentucky
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Emergent/Critical Care Imaging Simulation 2015
YEAR SIMULATION Total # Residents R LEVELS INSTITUTIONS 2015 SIM 3 Taken 127 R1 94 R2 33 Albert Einstein Dartmouth Geisinger Hahnemann Mount Sinai Miami Stony Brook SUNY- Brooklyn University of Florida University of Florida-Jax University of Kansas University of Kentucky University of Louisville University of Mississippi University of Pennsylvania University of Vermont University of West Virginia Registered (not yet taken) 19 R1 19 Army Air Force SIM Monmouth 2 R1 1 R2 1 Monmouth Medical Center
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Averages and Ranges YEAR SIMULATION R LEVEL (N) AVG SCORE RANGE
SIM 1 R1 (57) R2 (50) R3 (11) R4 (6) 61% 74% 73% 78% 42%-74% 65%-85% 60%-85% 73%-81% 2014 SIM 2 R1 (63) R2 (31) R3 (6) R4 (3) 58% 70% 66% 68% 39%-78% 48%-81% 54%-72% 59%-79% 2015 SIM 3 R1 (94) R2 (33) 59% 67% 47%-68% 63%-74%
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Simulation – A Self Discovery Process
Identifies the Educational Tasks Identifies the Knowledge Gaps Individuals Programs Across institutions Identifies Areas of Uncertainty Trains Toward Competency
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Future SIM - Tiered Options SIM - Scoring by key Findings
SIM - Natural Language Processing (NLP) SIM – Adaptive testing? Curriculum – “Emergent/Critical Care Imaging” Interactive Non synchronous Case based Educational Video Clips/Flicks
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Other uses of Imaging Simulation Platform
Training for Other specified Groups ED Stroke Team Med students Night Hawk Practice Hires Hospital safety
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Pathway to Competency
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Emergent/Critical Care Imaging Simulation
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Content SIM 1
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Content SIM 2
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Content SIM 3
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