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 SystemAbstractEvidence-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.
