Collaborator Showcase

OHDSI’s mission is to improve health, by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. We envision a world in which observational research produces a comprehensive understanding of health and disease. To achieve this goal, the OHDSI team has formed a multi-stakeholder, interdisciplinary collaborative which aims to bring out the value of health data through large-scale analytics and open-source software tools. OHDSI has established a global community of observational health researchers and a research network covering over 600 million patients.

OHDSI’s achievements to date would not be possible if not for the hard work of our growing community members. Our annual collaborator showcase provides collaborators the opportunity to showcase their tremendous work.

Once again we’ll be inviting collaborators to participate in the collaborator showcase. Collaborators will have the opportunity to submit abstracts for poster presentations, software demonstrations and oral presentations.

Multiple submissions are welcome but only one abstract is required per research topic. This means that for each research topic you’d like to present, you only need to submit one abstract and indicate all the mediums which you would like to present in.

  1. Poster: a poster-board to present a static display summary of your latest research.
  2. Software Demonstration: a table with screen/monitor to provide interactive display of open-source analytics.
  3. Oral Presentation: a 10-minute podium presentation to verbally share your story with the community.

Abstract submissions are due no later than 5pm on Thursday, August 7, 2018.

For accepted posters, a horizontal-orientation poster, 48″ x 36″ is the maximum size.  For accepted software demonstrations, a table and monitor will be provided for you at the symposium.. For accepted oral presentations, a planning committee member will be in contact with you for further instruction after Sept. 10th.

Abstracts will be peer-reviewed by the OHDSI Symposium Organizing Committee, and selected for presentation by September 10, 2018.  Those collaborators will then showcase their work at the OHDSI Symposium on Friday, October 12, 2018.

Topics of interest include:
– Observational data standards and management
– Methodological research
– Open-source analytics development
– Clinical research from OHDSI’s analytic use cases:
– Clinical characterization
– Population-level estimation
– Patient-level prediction

Abstract Submission due: August 7, 2018
Successful presenters notified: September 10, 2018
Collaborator Showcase: October 12, 2018


A template for developing an abstract can be found by clicking on this link: Abstract Template

Once the abstract is complete, the document should be saved as a PDF using the following naming convention, where the “firstname” and “lastname” correspond to the name of the first author, and “abstracttitle” should include keywords that summarize the abstract title:  firstname-lastname_abstracttitle_2018symposium

The document can be downloaded as a Microsoft Word document by clicking on the link and selecting File->Download As…-> Microsoft Word (.docx).

For further instruction and submitting the abstract template, please click the blue button below (please note that you will need a Google account for access to this page- see below for instructions on how to create a Google account)

Submit an Abstract

To create a Google account:

  1. Go to Locate and select the Sign in button in the top-right corner of the page.
  2. Click Create an account.
  3. The signup form will appear. Follow the directions by entering the required information, such as your name, birth date, and gender.
  4. Review Google’s Terms of Service and Privacy Policy, click the checkbox, then click Next step
  5. The Create your profile page will appear. Click Add a photo if you want to add a photo to your Google+ profile. If you don’t want to set a profile photo at this time, click Next step.
  6. Your account will be created, and the Google welcome page will appear.
  7. Click on the blue button above and enter your google sign on information to then access the submit an abstract form.

If you have any issues with the uploading of your abstract, please contact for assistance.