Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders
Akhil Vaid, Isotta Landi, Girish N. Nadkarni, Ismail Nabeel
Abstract
Musculoskeletal disorders like lower back, knee, and shoulder pain create a substantial health burden in developed countries—affecting function, mobility, and quality of life1. These conditions are often multifactorial and require clinicians to thoroughly assess their cause to decide on appropriate investigative and treatment approaches. However, the electronic health-care record does not explicitly capture pain characteristics within ICD-10 billing codes, making time-consuming and error-prone retrospective chart review necessary.
Topics & Concepts
ParsingComputer scienceNatural language processingPhysical medicine and rehabilitationMedicineLinguisticsPhilosophyNatural Language Processing TechniquesTopic ModelingText Readability and Simplification