Automating sedation state assessments using natural language processing.

ABSTRACT:

Introduction

Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation

SUBMITTER: Conway A 

PROVIDER: S-EPMC11771536 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature