GCC2022 has ended
The 2022 Galaxy Community Conference (GCC2022) brings together hundreds of researchers, trainers, tool developers, software engineers, and  computational infrastructure providers, all addressing common challenges in data intensive science using the Galaxy data integration and analysis platform.

  • July 17-23, 2022
  • University of Minnesota, Twin Cities
  • Minneapolis, Minnesota, United States

This annual gathering of the Galaxy community includes training, talks, posters, demos, Birds of a Feather meetups, and many other opportunities for collaboration and networking. GCC2022 will be an in-person meeting with limited support for remote attendees. There is no better event than GCC2022 to share your work and learn form others working in data-intensive science.

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Wednesday, July 20 • 11:19am - 12:20pm
Session 21: Keynote Presentation: Comprehensive Rib Fracture Care Map delivered as a Clinical Decision System

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This session will feature our second Keynote Speaker, Chris Tignanelli, of UMN.

Keynote presentation title: Comprehensive Rib Fracture Care Map delivered as a Clinical Decision Support System

Evidence-based (EB) practices have been shown to improve clinical outcomes, however, EB adherence varies. Clinical decision support systems (CDSS) have been shown to improve EB adherence, reduce health disparities, and improve clinical outcomes. This presentation will discuss the role of clinical informatics to provide cognitive decision support to providers and nurses, show a specific example for how to develop clinical decision support systems, conduct usability testing, implement, and ultimately scale successful CDSS across 10 trauma centers. It will then show how we evaluate such systems using RE-AIM (an implementation science framework). Finally, it will show how we iteratively improve on such systems and develop, validate, and ultimately integrate AI into CDSS to facilitate best practice and optimize patient outcomes.

Christopher Tignanelli is an MD and an associate professor at the medical school at UMN. As an Acute Care Surgeon, he sees patients in trauma, emergency surgery, and critical care. His research focuses on the development and validation of machine learning and AI-enabled decision support systems as well as the implementation, user-centered design, and scaling of interoperable clinical decision support tools. Among other distinctions, in 2021, he was named a “Health Care Hero” by the Minneapolis/St. Paul Business Journal for his innovative use of AI and informatics to improve healthcare for patients with COVID-19.

avatar for Subina Mehta

Subina Mehta

Researcher, University of Minnesota

avatar for Chris Tignanelli

Chris Tignanelli

Associate Professor of Surgery, UMN

Wednesday July 20, 2022 11:19am - 12:20pm CDT
Salon ABCD Room Courtyard Minneapolis Downtown,1500 Washington Avenue South, Minneapolis, Minnesota, USA, 55454