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Tuesday, July 26 • 8:00am - 10:00am
E06 – Making Biomedical Science Computable: Open Access Tools to Make Your Project FAIR

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Instructors: Joanne Dehnbostel, Dr. Amy Price, and  Khalid Shahin
Contributors: Dr. Mario Tristan and Dr. Brian Alper

Abstract: In this course you will learn to create a structured assessment of the risk of bias of a scientific research article and make it findable, accessible, interoperable, and reusable (FAIR) on the newly created Fast Evidence Interoperability Resource (FEvIR) platform.

The data you generate will automatically create standardized modular computable resources for reuse in software that supports the Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) standard. FHIR is used for interoperability for electronic medical records. Learn how you can use the FEvIR platform to create FAIR FHIR resources for biomedical research and journal articles. You will not need any software programing or computer coding skills.

This course will train participants to create FHIR resources across three sessions:
  • Session 1: Learn the background of HL7 FHIR, EBMonFHIR, and COKA collaboratives and the basis of the FEvIR platform to leverage the power and reusability of FHIR resources in your own work. Learn about the FAIR principles to make your work findable, accessible, interoperable and reusable. Create your first FHIR resource (without coding) to produce a citation for the research article you will assess. You will learn easy pathways to gather research materials from PubMed or ClinicalTrials.gov websites.
  • Session 2: Learn to perform a risk of bias assessment on your chosen scientific article using the Risk of Bias Assessment Tool (RoBAT). Continue to create your own FHIR resources on the FEvIR platform. Unite the resources you created in FHIR on your own FEvIR project page. Get feedback to help streamline your project.
  • Session 3: Learn how to join our collaborative work groups to support the FHIR standard for scientific communication. Learn how to comment on and vote on vocabulary terms in development for the Scientific Evidence Code System (SEVCO).
At the end of this course, you will know how to help us change the way science is communicated. International volunteers collaborated and constructed methods to refine and implement standards for scientific communication in ways built upon the FHIR standard for healthcare records. Now you can use these tools for your own work.

Are you creating a systematic review? This is a great place to gather references and create citation resources from PubMed. Create FHIR resources from a ClinicalTrials.gov study without re-entering the data. Create Risk of Bias assessments using RoBAT, which now includes profiles from ROB1, ROB2, ROBIS and other familiar workflows.

Audience: This course is ideal for information professionals or researchers who wish to improve the quality of their research and/or who wish to start running trainings at their institutions.

Tuesday, July 26
Wednesday, July 27
Thursday, July 28

avatar for Joanne Dehnbostel

Joanne Dehnbostel

Research and Analysis Manager, Computable Publishing LLC
avatar for Khalid Shahin

Khalid Shahin

Senior Software Engineer, Computable Publishing LLC
avatar for Amy Price

Amy Price

Senior Research Scientist, Stanford School of Medicine

Brian Alper

CEO, Computable Publishing LLC

Tuesday July 26, 2022 8:00am - 10:00am PDT
E06 Zoom room