New research recently published in the New England Journal of Medicine begs the question: Can an AI-based model revolutionize clinical research? In the paper titled TRIALSCOPE — A Framework for Clinical Trial Simulation from Real-World Data, Providence and Microsoft researchers propose an innovative framework dubbed TRIALSCOPE to automate the generation of Real World Evidence (RWE) from Electronic Medical Record (EMR) data.
The model uses AI to organize unstructured and noisy patient data and then simulates clinical trials to estimate the effects of treatments. It also tests how changes in criteria for who can participate in clinical trials could impact trial outcomes, giving researchers another tool to shape more effective trials for specific patient populations.
According to Dr. Bifulco and his colleagues, this model could revolutionize the way we conduct clinical trials and generate RWE. This work shows that by automating the curation of EMR data and leveraging advanced AI tools, researchers can generate robust, reliable and cost effective RWE to help identify the most effective treatments for specific patient populations.
Read more at NEJM.
