POTENTIAL CONTRIBUTION OF CHATGPT® TO LEARNING ABOUT SEPTIC SHOCK IN INTENSIVE CARE

Abstract

Objective: to demonstrate the application of some prompts and to problematize the use of ChatGPT® to guide the best answers for nursing students and teachers on septic shock in intensive care learning. Method: a methodological study where prompt technology was applied in ChatGPT® to support nursing learning in intensive care with an emphasis on septic shock. The study was organized in 3 stages, covering an understanding of ChatGPT® and models, as well as testing and exercising prompts. Results: applications of prompts were presented, based on a structure of pre-defined stages that made it possible to exemplify the answers given and to organize an output generation diagram as a way of summarizing the process of decision support in intensive care. Conclusion: ChatGPT® is a natural language processing model that uses deep learning approaches to generate human-like answers. However, the generation of prompts for the teaching-learning process in intensive care nursing requires in-depth association with the pillars of evidence-based practice.