A Little Bit of Clinical Makes the Coding Go Down: How AI Makes Population Health & Revenue Analytics Actionable

Authors

Alexis Skoufalos, EdD, Thomas Jefferson UniversityFollow
Kevin Agatstein, KAID Health
Jeffrey Lowenkron, MD, MPP, The Villiages Health

Document Type

Presentation

Publication Date

11-15-2023

Abstract

Population Health programs place two discrete burdens on providers:

1. Improve care quality, efficiency, and patient satisfaction.
2. Meet billing, coding, and documentation requirements of the alternative payment models that fund such value based care..

Health systems frequently employ clinical and revenue cycle analytics to address these two critical issues. Using an illustrative case, this session will explore how a health system (The Villages Health, FL) successfully used AI, including natural language processing (NLP), to unify clinical and financial analytics on a common platform.

The result: increased revenue, improved quality metrics, and better data for physicians.

Comments

Presentation: 58:48

Recommended Citation

Skoufalos, EdD, Alexis; Agatstein, Kevin; and Lowenkron, MD, MPP, Jeffrey, "A Little Bit of Clinical Makes the Coding Go Down: How AI Makes Population Health & Revenue Analytics Actionable" (2023). College of Population Health Lectures, Presentations, Workshops. Paper 60.
https://jdc.jefferson.edu/hplectures/60

Language

English