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Enhancing Emergency Care Through Artificial Intelligence From Innovation to Implementation (Informatics & Data Science Interest Group and Innovation Interest Group Sponsored)

Presenters:

Christian Rose, MD
Larissa May, MD
Dev Dash, MD, MPH
John Dickens, MD, MBA

Learning Objectives:

Upon completion of this session, participants should be able to:

-Critically assess emergency care problems to assess if they would benefit from an artificial intelligence solution.
-Describe and differentiate core techniques in artificial intelligence.
-Explain key steps for developing a successful artificial intelligence application in emergency medicine.
-Identify and describe effective strategies for overcoming barriers to the application of AI in EM.

You can’t stop hearing about the promise of artificial intelligence (AI) for emergency medicine. But how do you make this hype a reality? Not every clinical problem requires an AI solution, and not all AI solutions are the same. Even if you come up with something great, how will you know if it is working? Good solutions start with a clear problem definition. Once the problem is crystalized, then possible solutions can be evaluated. Next, direct observation or drilling down may be necessary to identify why the problem occurs and where the root cause is located. End user and interested party input is key at this stage and throughout the process. This is also where the best opportunity for intervention often lies. After that, determining if data is available can be a major bottleneck as AI solutions rely on accurate data inputs. Finally, AI tools do not simply end with implementation. Given that they continue to learn from subsequent inputs, continuous evaluation, monitoring, and feedback are pivotal points to any implementation. Building on the success of last year’s SAEM workshop, the material has been distilled to high-yield points along the pipeline to production pathway for implementing AI solutions in the hospital. Experts will walk through the process from development to deployment and evaluation. This will be a fast-paced and thorough session which will engage those interested in the core concepts of artificial intelligence (AI) in medicine and provide a practical guide to the development, implementation, and evaluation of AI-powered tools for the emergency care setting. We plan to engage the audience from several stakeholder perspectives.