Affiliation:
1. Mohamed bin Zayed University of Artificial Intelligence
2. Canadian University Dubai
3. Kalamazoo College
4. Lancaster University
Abstract
Hospitals’ use of communication is a crucial aspect of patient care, yet medical material is often hard to read and understand for patients. Issues related to lack of standardization, use of jargon, reliance on outdated technology, poor coordination between health personnel, and shortage of healthcare workers lead to miscommunication, delays, and errors in patient care. By improving communication, hospitals can improve patient care and outcomes, and perhaps lower costs. This opinion piece compares current communication methods with the use of ChatGPT technology to explore whether ChatGPT can improve the efficiency and accuracy of communication in healthcare settings and, hence, improve patient care. While natural language processing (NLP) tools such as ChatGPT and other artificial-intelligence-generated content (AIGC) have tremendous potential to be very useful in healthcare, they should not be solely used as a substitute for humans and should therefore be used with caution.
Publisher
Ediciones Profesionales de la Informacion SL
Subject
Library and Information Sciences,Information Systems,General Medicine
Reference102 articles.
1. Adams, Katie (2023). “Why ChatGPT in healthcare could be a huge liability, per one AI expert”. MedCityNews, March 7. https://medcitynews.com/2023/03/why-chatgpt-in-healthcare-could-be-a-huge-liability-per-one-ai-expert
2. Adapa, Karthik; Jain, Saumya; Kanwar, Richa; Zaman, Tanzila; Taneja, Trusha; Walker, Jennifer; Mazur, Lukasz (2020). “Augmented reality in patient education and health literacy: a scoping review protocol”. BMJ open, v. 10, n. 9, e038416. https://doi.org/10.1136/bmjopen-2020-038416
3. Agarwal, Ritu; Sands, Daniel Z.; Díaz-Schneider, Jorge (2010). “Quantifying the economic impact of communication inefficiencies in U.S. hospitals”. Journal of healthcare management, v. 55, n. 4, pp. 265-282. https://doi.org/10.1097/00115514-201007000-00007
4. Alanazi, Mansour-Ahmed (2021). “Effect of patient education in family medicine practices”. Multicultural education, v. 7, n. 7, pp. 321-329. https://doi.org/10.5281/zenodo.5112133
5. Aljanabi, Mohammad; Ghazi, Mohanad; Ali, Ahmed-Hussein; Abed, Saad-Abas (2023). “ChatGPT: open possibilities”. Iraqi journal for computer science and mathematics, v. 4, n. 1, pp. 62-64. https://doi.org/10.52866/20ijcsm.2023.01.01.0018
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献