Year: 2025
Type: article
Abstract: Natural Language Processing (NLP) has mainly emerged as one of the transformative technology in healthcare, enabling automation, improved diagnostics, as well as enhanced patient engagement. This paper presents a data-pushed exploration of NLP packages in the healthcare domain, specializing in clinical documentation, clinical coding, and patient-company conversation. A comprehensive analysis of datasets and algorithmic fashions is conducted to assess the effectiveness of NLP equipment. The results exhibit sizable enhancements in operational efficiency, accuracy, and choice-making processes. The findings advocate for broader adoption of NLP-powered automation as a method to revolutionize healthcare structures.
Author: Kannan Vishwanatth
Institutions: Mangalayatan University, University of California, Berkeley
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4410899893