Gathering insight from clinical notes remains one of the areas of untapped healthcare intelligence with tremendous potential. But extracting that value is difficult. Still, a few organizations across the country are demonstrating success using advanced technology tied to intuitive processes and procedures. Leading one such organizational effort is Wendy Chapman, PhD, chair of the Department of Biomedical Informatics at the University of Utah.
Wednesday, December 5
1:00-2:00 PM EST
Dr. Chapman’s research has driven discovery in new ways to disseminate resources for modeling and understanding information described in narrative clinical reports. Her teams have demonstrated phenotyping for precision medicine, quality improvement, and decision support. Joining Dr. Chapman in a shared discussion is Mike Dow who leads the Natural Language Processing (NLP) technology team at Health Catalyst. Mike and team have several years of experience engaging with a variety of health system organizations across the country who are realizing statistical insight by incorporating text notes along with discrete data analysis.
Together, Mike and Dr. Chapman will provide an NLP primer sharing principle-driven stories so you can get going with NLP whether you are just beginning or considering processes, tools or how to build support with key leadership.
Join us to better understand the potential of NLP through existing applications, the challenges of making NLP a real and scalable solution, and walk away with concrete actions you can take to use NLP for the good of your organization.
Wendy Chapman earned her bachelor’s degree in Linguistics and her PhD in Medical Informatics from the University of Utah in 2000. From 2000-2010 she was a National Library of Medicine postdoctoral fellow and then a faculty member at the University of Pittsburgh. She joined the Division of Biomedical Informatics at the University of California, San Diego in 2010. In 2013, Dr. Chapman became the chair of the University of Utah, Department of Biomedical Informatics.
Dr. Chapman’s research focuses on developing and disseminating resources for modeling and understanding information described in narrative clinical reports. She is interested not only in better algorithms for extracting information out of clinical text through natural language processing (NLP) but also in generating resources for improving the NLP development process and in developing user applications to help non-NLP experts apply NLP in informatics-based tasks like clinical research and decision support.
Mike Dow leads Health Catalyst’s text analytics initiative, making information previously locked in text notes available in Health Catalyst’s Data Operating System (DOS). Mike started his career working with data at an EMR vendor and later building software at a startup. He then co-founded and served as CIO at the “Best in KLAS” rated Galen Healthcare Solutions before joining Health Catalyst in 2015.