Evaluating a Doctor-in-the-Loop AI Agent for Extracting Lines of Therapy, Stem Cell Transplantation, and Immunotherapies from Real-World EHR Data in Multiple Myeloma | Synapse
March 3, 2026
Evaluating a Doctor-in-the-Loop AI Agent for Extracting Lines of Therapy, Stem Cell Transplantation, and Immunotherapies from Real-World EHR Data in Multiple Myeloma
Key Points
AI effectively identifies lines of therapy and treatments in electronic health records, enhancing clinical decision support.
The study reports an accuracy rate of 85% for the AI in therapy line extraction across various data sets.
An observational analysis of electronic health records from multiple academic centers assessed AI performance.
This approach highlights the potential for AI to streamline data extraction, but further validation in diverse settings is needed.