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.

DESCRIPTORS:
Artificial Intelligence; Critical care; Intensive care units; Nursing; Information technology; Septic shock