Using AI to Unlock the Power of PROMs for Prediction and Decision Making
In this talk, Dr. Chris Gibbons will discuss how the future of PRO assessment could be guided by recent advances in computational language modelling and generative AI. He will give a critical overview of the state-of-the-art for assessing PROs, and other health-related latent constructs, using natural language processing techniques. Dr. Roberts will discuss how incorporating PROMs into machine learning-based predictive models can improve model performance. Chris Gibbons, PhD Associate Professor and Deputy Chair, Department of Symptom Research Director, MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data) Chief, Section of Patient-Centered Analytics Thomas Roberts, MD, MBA Head and Neck Oncologist and Associate Director of Quality and Safety, MGH Cancer Center Clinical Director, Oncology Services Mass General Brigham
The Evolving Landscape of PROMs in Healthcare
In this first session, Dr. Pusic will kick off our PROMs Summer School Series with a brief overview of the weeks to come and provide an introduction to the science of PROMs. Then, Dr. Mou will share the creation and successful implementation of a bariatric surgery PROMs program that has high response rates and generates clinically meaningful data that enhances patient-centered care. Andrea Pusic, MD, MHS– Director, PROVE Center, BWH Chief, Plastic and Reconstructive Surgery, BWH Professor, Harvard Medical School Medical Director, MGB PROMs Danny Mou, MD, MPH- Bariatric Surgeon, Washington University Minimally Invasive Surgery (MIS) Fellowship, Emory University Past Fellow, PROVE Center