Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation

Indexed inarxivcrossref

Abstract

Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety. This paper explores the potential of generative AI (Artificial Intelligence) to streamline the clinical documentation process, specifically focusing on generating SOAP (Subjective, Objective, Assessment, Plan) and BIRP (Behavior, Intervention, Response, Plan) notes. We present a case study demonstrating the application of natural language processing (NLP) and automatic speech recognition (ASR) technologies to transcribe patient-clinician interactions, coupled with advanced prompting…

Citation impact

1,017
total citations
FWCI
319.72
Percentile
100%
References
37
Citations per year

Authors

2

Topics & keywords

Keywords
  • Documentation
  • Health care
  • Generative grammar
  • Confidentiality
  • Process (computing)
  • Software deployment
  • Intervention (counseling)
  • Patient safety
UN Sustainable Development Goals
  • Quality Education
No related works found for this paper.