In this free webinar, learn how to use AI to mine structured and unstructured electronic medical record (EMR) data to precisely find patients for clinical trials and real-world evidence studies. The featured speakers will discuss case studies on precisely identifying patients with chronic obstructive pulmonary disease (COPD) exacerbations and identifying and prioritizing patients for a heart device clinical trial.

TORONTO, Feb. 29, 2024 /PRNewswire-PRWeb/ — The convergence of artificial intelligence (AI) and electronic medical record (EMR) data has brought unprecedented precision and speed to finding patients for clinical trials, real-world evidence studies and even treatments in a clinical setting. In this webinar, the featured speakers will explore innovative ways in which life sciences companies are using AI to find patients more precisely, prioritize patients for research based on therapy-specific criteria and collaborate with sites to quickly access EMR data.

Traditionally, finding the right patients for a trial or research project is done by searching EMRs for structured codes or performing keyword lookups. Unfortunately, the results are imprecise and the process is time-consuming, requiring manual chart review and validation. Finding patients that match criteria without an associated code or with inconsistent documentation adds further complexity (e.g., ‘triple negative breast cancer’ can appear in the text as TNBC, triple negative BC, breast tumor – TN, and so on).

Additionally, it can take over a year for life science companies to get access to EMR data to develop novel patient-matching algorithms for their research. Using AI to mine deep, real-time EMR data, including structured and unstructured information, such as clinician notes, omics, labs and pathology reports, can quickly and precisely find all clinically eligible patients for a clinical trial or research study.

In this webinar, the speakers will share their experience leveraging AI to identify patients with chronic obstructive pulmonary disease (COPD) exacerbations in the clinical setting, as well as how they identified prioritized patients for a heart device clinical trial.

Register for this webinar today to gain insights into the benefits of AI-driven patient matching as well as mining of deep, real-time EMR data.

Join Kristin Wrobleski, PhD, Senior Director, GSK; Daniel Fort, PhD, MPH, Assoc Professor and Manager Clinical Informatics, Ochsner Center for Outcomes Research, Ochsner Health; Dan Housman, Chief Technology Officer, Graticule; and Wout Brusselaers, CEO, Deep 6 AI, for the live webinar on Thursday, March 14, 2024, at 1pm EDT (10am PDT).

For more information, or to register for this event, visit The AI Revolution in Clinical Research: Next-Gen Precision Patient Matching.

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