| Clinical Trial Patient Matching | |
|---|---|
| Lead | Guannan Gong, PhD |
| Team | Pamela Kunz, MD; Patricia LoRusso, DO; Maryam Lustberg, MD, MPH; Ian Krop, MD, PhD; Neal Fischbach, MD |
| Description | Our innovation helps make sure everyone gets a fair chance to try new treatments in medical studies. We made a special computer system called the Clinical Trial Patient Matching (CTPM) system. It uses smart technology like AI, Large Language Model (LLM), and Natural Language Processing (NLP) to look at medical information in real-time. This system helps doctors figure out if someone can join a study and makes the process smoother for everyone involved. |
| Target Impact | Clinical trials struggle with recruiting diverse participants, impacting research validity and perpetuating health disparities. |
| Project Lead's Vision | Rigorous validation through retrospective studies revealed a remarkable 94.4% accuracy and 100% recall, while prospective studies demonstrated a threefold increase in accrual numbers compared to trials without CTPM integration. Yale Cancer Center, utilizing CTPM, achieved the top enroller position in the US for an industrial sponsored phase III breast cancer trial, notably identifying over 10% more underrepresented eligible patients compared to traditional recruitment methods. |
Center for Health Care Innovation
