Chat generative pre-trained transformers era: pros and cons between nursing researchers in Egypt

Abstract

BACKGROUND: An artificial intelligence chatbot called Chat Generative Pre-Trained Transformers (ChatGPT) was created by OpenAI. It gained a lot of interest and attention from the scientific and academic sectors since its November 2022 launch. AIM: To identify ChatGPT pros and cons between nursing researchers in Egypt. METHODS: A descriptive (cross sectional) research design was conducted on a convenient sample of 1001 nursing researchers from faculties of nursing related to the Supreme Council of Universities. Two tools were used: demographic and technical characteristics, and nursing researchers' opinion questionnaire. RESULTS: The majority of the participants (81.4%) thought that using ChatGPT had significant advantages. However, 44.7% of the cons were disclosed. Almost two-thirds of nursing researchers stated that they are concerned about patient confidentiality (65.6%), that it could lead to incorrect conclusions (68.8%), and that it could have medicolegal repercussions (68.6%). As a result, they are reluctant to use AI chatbots in healthcare decisions (67.8%). CONCLUSION AND RECOMMENDATIONS: ChatGPT had benefits but at the same time associated with drawbacks and needs to be used wisely to avoid these drawbacks. Enhance ChatGPT's ability to foster reflective practice to enhance decision-making and critical thinking while bridging the theoretical and practical knowledge gaps in nursing research.

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