NLP Summit 2022: Deep Phenotyping, AI, and the Future of Precision Health - Washington University School of Medicine, St Louis
Healthcare systems are producing data at a rate that exceeds growth in any other industry. A huge amount (80%) of this data is unstructured.
Those who adopt technologies to untap the potential value of these data are best placed to understand their populations more. And are able to provide appropriate and tailored treatment and initiatives where they are needed.
In this presentation, we explore how Washington University School of Medicine are using NLP to advance clinical care.
Data and AI now have leading roles to play in advancing precision medicine research by identifying early onset and treatments for disease. Dr Philip Payne will share how Washington University is building a set of NLP pipelines to extract high quality phenotypic data from the clinical narrative, to develop registries for patients with Alzheimer’s disease, breast cancer, diabetes and obesity. The use of natural language processing is key because close to 80% of the high value phenotypic data is encoded in the clinical narrative, not in structured or discrete fields in the electronic health record.
To view this recording, you will first need to fill out this short webform: