Kevin Lu, PhD, FISPE, BPharm: Merck: Grant Recipient (Ongoing)
This interactive session will allow attendees to hear from individuals with expertise in Natural Language Processing in AI, including clinical documentation, computer-assisted coding, data mining, and automated registry reporting that are essential in pharmaceutical health care. Natural language processing methods have been developed and applied to various areas in healthcare. This session will review how natural language processing is being leveraged in research to guide pharmaceutical outcomes research, policy, and practice in the future.
Learning Objectives:
Define natural language processing and deep learning.
Identify best practices and science areas that are particularly useful for natural language processing.
Describe commonly used approaches for natural language processing in practicing practice-based pharmacy research and pharmaceutical health services research.
Discuss natural language processing limitations and potential solutions.