New research recently published in the New EnglandJournal of Medicine begs the question: Can an AI-based model revolutionizeclinical research? In the paper titled TRIALSCOPE — AFramework for Clinical Trial Simulation from Real-World Data, Providence and Microsoft researchers propose an innovative framework dubbedTRIALSCOPE to automate the generation of Real World Evidence (RWE) from ElectronicMedical Record (EMR) data.
The model uses AI to organize unstructured and noisypatient data and then simulates clinical trials to estimate the effects oftreatments. It also tests how changes in criteria for who can participate inclinical trials could impact trial outcomes, giving researchers another tool toshape more effective trials for specific patient populations.
According to Dr. Bifulco and his colleagues, this modelcould revolutionize the way we conduct clinical trials and generate RWE. Thiswork shows that by automating the curation of EMR data and leveraging advancedAI tools, researchers can generate robust, reliable and cost effective RWE to helpidentify the most effective treatments for specific patient populations. Read more at NEJM.
