When:
Time: 9:30am PDT, 12:30pm EDT, 5:30pm BST, 6:30pm CEST
Duration: 60 minutes
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.
The latest in AIMed’s webinar series will explore how leaders from Washington University School of Medicine, St Louis and Kaiser Permanente Northern California 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.
Dr Matthew Solomon will present how Kaiser Permanente Northern California, a large, integrated healthcare system, developed and validated NLP queries to identify aortic stenosis (AS) cases and associated parameters from semi-structured echocardiogram reports and compared its accuracy to administrative diagnosis codes. This use case gives a brief overview of the results and how NLP algorithms were substantially more accurate than diagnosis codes for identifying AS, provided richer clinical detail on ascertained cases, and will serve as a platform for population management strategies.
Speakers
Calum Yacoubian
Associate Director NLP Healthcare StrategyCalum Yacoubian
Dr. Calum Yacoubian is Associate Director of Healthcare Product & Strategy at Linguamatics, IQVIA. He is a medical doctor who trained and practiced in the UK before moving into medical technology. He has worked with Natural Language Processing in clinical data for over 5 years and is passionate about the potential for data to drive improved patient outcomes.
Dr. Matthew Solomon
Cardiologist and Researcher, Kaiser PermanenteDr. Matthew Solomon
Dr. Matthew Solomon is an adult cardiologist and physician-researcher at Kaiser Permanente Northern California. He conducts cardiovascular outcomes research across many areas of cardiovascular disease, including valvular heart disease, coronary artery disease, arrhythmia. and thoracic aortic disease. He has published multiple first-authored and co-authored journal articles, invited editorials, and book chapters, including in the New England Journal of Medicine, the Journal of the American Medical Association, the Journal of the American College of Cardiology, and other prestigious medical and cardiovascular publications. His research was cited among the top 10 “most read” articles in JAMA Cardiology in 2018, and two of the “most read” articles in the Journal of the American College of Cardiology in 2016. Dr. Solomon’s work has been covered broadly in the national media, including features on NPR’s All Things Considered and KQED, and has been covered by the New York Times, US News and World Report, Sacramento Bee, WebMD, Reuters Health, HealthDay and elsewhere. He also developed and leads a population management program and sub-specialty referral center for patients with aortic disease across Kaiser Permanente Northern California’s 4.5 million person membership, to coordinate care for these complex conditions.
Dr. Philip Payne
Chief Data Scientist, Washington UniversityDr. Philip Payne
Dr. Payne is the Janet and Bernard Becker Professor and Founding Director of the Institute for Informatics at Washington University in St. Louis. He is also the Associate Dean for the Office of Health Information and Data Science as well as Chief Data Scientist for Washington University. He holds appointments as a Professor of General Medical Sciences and Computer Science and Engineering in the Schools of Medicine and Engineering and Applied Sciences respectively. In this capacity, he is responsible for the creation and oversight of comprehensive biomedical informatics and data science research, training, and support programs aligned with the health and life science enterprise spanning Washington University, BJC Healthcare, and a variety of regional partners.
