Poster Research Highlights #2 (205)

1:30 PM–2:30 PM Friday, February 28

Increasing both the quality and quantity of scientific pain research is a primary goal of the AAPM Annual Meeting. The Scientific Poster Abstract Committee has selected three of the highest ranking, most novel 2020 poster submissions for live presentation in this session.

Applying Machine Learning to Decrease Research Chart Reviews of Electronic Health Records: A Method of Automated Opioid Medication Classification for Pain Medicine Research

Sean McDermott, MD

Identifying phenotypic subpopulations of chronic pain patients using k-means cluster analysis of body map data

Nathan Anderson, BA MDiv

Analysis of the Validity of Factors Predicting Performance in a Multidisciplinary Pain Medicine Fellowship Program

Robert Bolash, MD

Learning Objectives:

  • Apply machine learning to decrease chart reviews of EHRs.
  • Interpret factors related to patient decisions to initiate behavioral pain treatment following pain specialist referral.
  • Analyze validity of factors predicting performance in a multidisciplinary pain medicine fellowship program.