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Webinar: Open-Source NLP Platforms in Healthcare: Opportunities and Challenges

September 20, 2018 @ 12:00 pm - 1:00 pm

“One of the major barriers to leveraging EHR data for clinical and translational science is the tremendous unstructured or semi-structured clinical narratives remain unparsed and underused. As demonstrated by large scale efforts such as ACT (Accrual of patients for Clinical Trials), eMERGE, and PCORnet, using EHR data for research rests on the capabilities of a robust data and informatics infrastructure that allows the structuring of clinical narratives and supports the extraction of clinical information for downstream applications. Current successful NLP use cases often require a strong informatics team (with NLP experts) to work with clinicians to supply their domain knowledge and build customized NLP engines iteratively. This requires a close collaboration between NLP experts and clinicians, not scalable and infeasible at institutions with limited informatics support. Additionally, the usability, portability, and generalizability of NLP systems are still limited, partially due to the lack of access to EHRs across institutions to diversify the training and testing datasets for NLP systems. The limited availability of EHR data limits the training related to improve the workforce competence in clinical NLP. In this talk, I will discuss our efforts in addressing the above challenges through privacy-preserving computing, deep learning, and open science approaches to improve the scalability, utility, portability, and generalizability of NLP systems.”

Note: Free to AMIA members, $50 for non-members