Social Media for Radiology Education in Gross Anatomy
Two Years of Experience
Liwei Jiang, B.A.
Christopher R. Bailey, M.D.
Krishna Juluru, M.D.
Donna Magid, M.D., M.Ed.
The Johns Hopkins University School of Medicine
March 11, 2016
Objectives
After attending this presentation, the participant will
- Appreciate the potential of social media tools in delivering content to learners
- Recognize the capabilities and limitations of social media metrics in data analysis
Anatomy + Radiology
Radiology: the way most physicians see anatomy
Pull Learning:
Significant Effort Required
TeamRads: separate, non-integrated site
- “Yet another system”
- “Go to Section X, click on Case Y…”
- Challenge to patience and willpower
Need to invert the flow of educational resources
Push Learning
Goals
Push daily imaging cases in step with anatomy curriculum, directly into the hands of students
- Drive learning on all devices
- Reinforce both anatomy and radiology
- Foster and measure student engagement
- Set up once, run automatically
Target Demographic
Students in JHUSOM Human Anatomy course:
- Medical
- Biomedical Engineering
- Medical & Biological Illustration
N ≈ 140 each year, voluntary participation
Project done twice, 2014 and 2015
All cases are carefully de-identified
Structural Limitations
- Not everyone uses Facebook
- Previous year’s participants not excluded
- Facebook Page is public; anyone could participate
- Extra participants counted in Facebook’s metrics
Limitations
- Not everyone uses Facebook
- Previous year’s participants not excluded
- Facebook Page is public; anyone could participate
- Extra participants counted in Facebook’s metrics
- Facebook’s algorithm may broaden content’s visibility
- Possibly undesirable in controlled environment
- Participants free to ignore content pushed
- Currently unable to directly assess learning enhancement
Future Directions
- Reach: Find additional avenues of content delivery
- Control: Consider limiting content to target demographic
- Closed group may conflict with openness philosophy
- Quality: Improve imaging cases
- Responsibility: Incorporate testing to assess impact
Conclusions
Facebook and Buffer
- Powerful: Push learning with broad reach
- Information-rich: Highly revealing metrics
- Natural for users: Fits habits of Digital Natives
- Simple for administrators: Set up once, run repeatedly
Well received by students
Widely applicable to other educational scenarios
Acknowledgments
Facebook, Inc.
Buffer
Foundations of Human Anatomy,
The Johns Hopkins University School of Medicine
Institute for Excellence in Education
Supported by the M.R. and Evelyn Hudson Foundation