2. Descriptive Title for Talk
Institutional Logo(s)
Descriptive Title for Talk
Medical Student Name, Degree(s), Home Institution
Mentor Name(s), Degree(s), Host Department(s), Institution(s)
Additional Author Name(s), Degree(s), Institutions(s)
Note: This is a good opportunity to BRIEFLY thank FAER, your mentors, and your collaborators (who are all listed on the slide)

3. Background (1) No more than one to two slides!
Only one to two minutes of 10 min talk
Audience’s primary interest is methods / results
Focus on background specific to your study question
Provide context for your study
Omit broad background everyone knows
Don’t say: “Nerve blocks can be used to reduce pain after surgery”
Say: “We don’t know which concentration is most effective”
First author, et al. Journal Volume:pages, year.

4. Background (2) Put references on the pertinent slide
No reference list at the end
Allows attendees to look up specific articles
Ending on reference slide takes the wind out of your conclusion
First author, et al. Journal (Year) Volume:pages.
Brief
Allows increased font size
Attendees have enough info to look up article
Hopf, et al. Journal of Recommendations (2017) 1:1-5.

5. Hypothesis (or) Study Question
Hypothesis is an if / then proposal
If you use this approach to research presentations, then your audience will be engaged, leading to valuable discussion that improves your study
Study Question is posed as a question
Does using this approach to research presentations improve the engagement of the audience and lead to valuable discussion that improves your study?

6. Methods (1) Provide the important details Study Design
Omit small details
Streamlines presentation
Opening for questions that are easy to answer
Don’t omit anything crucial
Study Design
e.g. Retrospective, Quality Improvement, Randomized Controlled Trial, Animal Model

7. Methods (2) Recruitment Data collection Statistical analysis
Inclusion / Exclusion Criteria
Number contacted, consented, enrolled, excluded after enrollment, lost to follow-up
Data collection
Statistical analysis
Sample size estimate
Data analysis

8. results Primary results, ideally as a graph
Don’t present same data twice
e.g. describe in text + table or graph
Graphs are better than tables
Include estimates of variation (SD, range)
If you don’t have data yet, use hypothetical data or similar data
Helps audience understand structure of project
Helps you identify gaps in planned data collection

9. Graphs improve audience attention

10. Discussion Primary Findings Limitations and challenges
Provide context for findings
Plans for future studies