Download PDFOpen PDF in browser

Precision Healthcare Communication: GPT-Powered Systems for Contextually Adaptive Responses

EasyChair Preprint no. 12967

7 pagesDate: April 9, 2024


Effective communication lies at the heart of successful healthcare delivery, especially in the context of personalized medicine. This article explores the integration of Generative Pre-trained Transformers (GPT) - advanced natural language processing models - in healthcare communication, aiming to achieve contextually adaptive responses.  
The paper begins by emphasizing the significance of precision healthcare communication, elucidating its role in fostering patient understanding, engagement, and adherence to treatment plans. It introduces the emergence of GPT-powered systems as a transformative solution for generating contextually adaptive responses in healthcare communication.  
Furthermore, the article delves into the applications and benefits of GPT-powered systems in precision healthcare communication. These systems leverage vast amounts of data to understand patient inquiries, preferences, and circumstances, enabling healthcare providers to deliver personalized and contextually relevant responses

Keyphrases: GPT, healthcare communication, Precision Healthcare Communication

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Shophia Lorriane},
  title = {Precision Healthcare Communication: GPT-Powered Systems for Contextually Adaptive Responses},
  howpublished = {EasyChair Preprint no. 12967},

  year = {EasyChair, 2024}}
Download PDFOpen PDF in browser