Future-Proofing Healthcare Systems: GPT-Powered Language Models for Adaptive Responses to Emerging Health Issues

EasyChair Preprint no. 12979

Abstract

As healthcare systems globally face increasingly complex challenges, the need for adaptive and responsive solutions has become paramount. This paper explores the potential of GPT-powered language models in revolutionizing healthcare by enabling adaptive responses to emerging health issues. Generative Pre-trained Transformers (GPT) are at the forefront of natural language processing, capable of understanding and generating human-like text. By leveraging GPT-powered language models, healthcare systems can harness vast amounts of medical data, research literature, and patient records to provide timely insights, personalized recommendations, and dynamic decision support.  
Through a comprehensive review of literature, case studies, and expert insights, this paper examines the applications, benefits, challenges, and ethical considerations of integrating GPT-powered language models into healthcare systems. From predictive analytics and clinical decision support to patient engagement and population health management, GPT-powered solutions offer unprecedented opportunities to enhance healthcare delivery, improve patient outcomes, and address emerging health threats proactively.

Keyphrases: Emerging Health Issues, GPT-Powered Language, Healthcare systems

@Booklet{EasyChair:12979,
  author = {Shophia Lorriane},
  title = {Future-Proofing Healthcare Systems: GPT-Powered Language Models for Adaptive Responses to Emerging Health Issues},
  howpublished = {EasyChair Preprint no. 12979},

  year = {EasyChair, 2024}}