Session Notes: This session does not offer MOC-II credit.
Healthcare organizations are increasingly adopting Natural Language Processing (NLP) technologies to support healthcare quality assessment, risk stratification, clinical document improvement, and other tasks. Many providers and payors are using a combination of homegrown, open-source and commercial software. This panel introduces efforts of five different healthcare organizations that have dedicated natural language processing programs and teams. These teams are engaged in developing, deploying, evaluating and/or commercializing NLP technologies. Panelists will share their experience in forming and sustaining an NLP group within a healthcare organization. They will outline the diverse business models supporting their efforts, as well as the range of informatics infrastructures needed to enable their work. Panelists will present a wide range of use cases for NLP within their healthcare organizations, and describe their key stakeholders. A discussion of challenges and future directions will offer a roadmap for other institutions that are considering NLP as a strategic technology investment.
Learning Objective 1: - know the reasons why healthcare organizations are deploying and developing NLP technologies
- understand the approaches that healthcare organizations are taking to develop and sustain groups with expertise in NLP methods and technologies
Learning Objective 2: - be able to explain the general categories and provide a range of specific examples where NLP is being used in healthcare organizations, including both provider and payor settings
- develop a roadmap of capabilities that can be used to help inform decision making by healthcare IT leadership
Rebecca Crowley Jacobson (Presenter)
Wendy Chapman (Presenter)
University of Utah
Hongfang Liu (Presenter)
Olga Patterson (Presenter)
VA Salt Lake City Healthcare System
Daniel Zisook (Presenter)
Southern California Permanente Medical Group