APhA-APRS: Applications of Natural Language Processing in Research

Saturday, March 23, 2024

2:30 PM - 3:30 PM East Coast USA Time

Location: Orange County Convention Center, W311C

CE: 1.0

ACPE Number: 0202-0000-24-130-L04-P

Number of Hours: 1

Activity Type: Knowledge

Presenter(s)

Kevin Lu, PhD, FISPE, BPharm

Associate Professor; Department of Clinical Pharmacy and Outcomes Sciences
University of South Carolina, United States

Handout

Disclosure(s):

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.