Healthcare organizations around the country are using artificial intelligence (AI) to mine real-time, electronic medical record (EMR) data to precision match patients to clinical trials. The adoption of AI in clinical research has improved clinical trial feasibility assessments, reduced the time that research staff spend searching for patients and screening potential matches, and accelerated enrollment.

The presenters will describe how AI mines structured and unstructured data to precision match patients to trials, factors to consider when selecting an AI tool, best practices for implementing AI, the processes needed to make it successful, and case studies on the impact it has delivered.