A Study of Natural Language Processing in Healthcare  Industries

Dattatray G. Takale

doi:10.48001/jowacs.2024.221-6

Authors

Dattatray G. Takale Assistant Professor, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org/10.48001/jowacs.2024.221-6

Keywords:

Clinical documentation, Decision-making, Disease identification, Drug discovery, Natural Language Processing (NLP)

Abstract

Natural Language Processing (NLP) is at the forefront of revolutionary technology, and it presents potential that have never been seen before to revolutionize the healthcare business. A thorough review of natural language processing (NLP) applications in the healthcare industry is presented in this study. The paper investigates the complex influence that NLP has on clinical documentation, illness detection, medication development, and patient engagement. In this study, the concrete advantages of natural language processing (NLP) are investigated. These benefits include increased efficiency, enhanced decision-making, and the facilitation of patient-centered care. On the other hand, difficulties pertaining to data protection, system integration, and ethical concerns are also addressed. The purpose of this study is to investigate the future possibilities of natural language processing (NLP) as it continues to develop. Specifically, the research envisions a healthcare environment in which sophisticated language processing technologies play a vital role in improving diagnostic accuracy, treatment personalization, and overall patient outcomes. The results that are provided in this review contribute to a more in-depth knowledge of the possibilities and obstacles associated with integrating natural language processing (NLP) into healthcare practices. This understanding paves the way for a future healthcare system that is more data-informed and patient-centered.

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