Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Mar 1, 2025

Abstract

OBJECTIVE: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text messages, deploy automated mapping of these expressions to a taxonomy, and explore the created expressions and relationships.

Authors

  • Matthew Steven Farmer
    Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, United States.
  • Mihail Popescu
    Health Management and Informatics Department, University of Missouri, Columbia, Missouri, USA.
  • Kimberly Powell
    Nvidia Corporation, Santa Clara, California.

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