The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
ChatGPT: can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals
Open accessAbstract
Poem about the European Journal of Cardiovascular Nursing. In line with the Journal's conflict of interest policy, this paper was handled by Jeroen Hendriks. On 30 November 2022, ChatGPT was launched. ChatGPT is an artificial intelligence (AI) language model developed by OpenAI. It is a type of AI model that is based on the third generation of the Generative Pre-trained Transformer (GPT-3) language model, which uses deep learning techniques to produce human-like text. GPT-3, and thus ChatGPT, is trained on a massive dataset of written text and is able to generate natural language responses to a wide variety of prompts. As such, ChatGPT can be used for a variety of natural language processing tasks, such as language translation, text summarization, and question answering. Some of the most common use cases of ChatGPT include chatbots, automated writing and content creation, and language understanding for AI applications. The quality of the generated text is very good and even hard to distinguish from a text written by humans. The system is different from internet search engines, like Google, or voice-controlled personal assistants, like Siri. Unlike search engines, ChatGPT will not directly look for the answer on the questions in texts available on the internet. And unlike voice-controlled personal assistants, ChatGPT does not use pre-programmed answers to questions. Of note, GPT-3 is trained with data available up to 2021. Therefore, it is ignorant for the most recent information. To date, ChatGPT is freely accessible using the following link: https://openai.com/blog/chatgpt/. This editorial aims to inform readers about this technology, explore the potential use of ChatGPT for cardiovascular clinic and research and highlight potential misuse and errors. It is obvious that ChatGPT will profoundly influence our society. Shortly after its launch, schools, and universities expressed their concerns about the use of ChatGPT by students.1 Indeed, ChatGPT is able to generate essays in a couple of seconds, and thus, students may use AI to write papers or even to fill out online exams.2 Consequently, educators are worried about the intellectual work that students are (no longer) putting in their assignments. Therefore, schools and universities are developing policies regarding the use of ChatGPT by students. While some concerns are raised, the system also offers huge opportunities. For instance, in healthcare, ChatGPT could assist clinicians and researchers. Since ChatGPT is a language model, you can ask the system whatever question. You can even ask it to describe its own value. Therefore, we asked ChatGPT if it can be of value for cardiovascular nurses working in clinical practice. The following answer was given: Yes, ChatGPT can be of value for cardiovascular nurses working in clinical practice. Here are a few ways that ChatGPT could be used: Patient education: ChatGPT can be used to generate patient education materials, such as brochures and handouts, that are tailored to the specific needs of cardiovascular patients. This could help nurses provide more effective and personalized care. Charting and documentation: ChatGPT can be used to automatically generate chart notes and other documentation from structured data, such as vital signs and lab results. This could save time for nurses and reduce the risk of errors in charting. Medication management: ChatGPT can be used to generate medication lists and instructions for patients with cardiovascular conditions. This could help ensure that patients receive the correct medications at the right time and in the right dosage. Research Assistance: ChatGPT can assist cardiovascular nurses in keeping up to date with the latest research and guidelines by summarizing articles, papers, and other sources of information in a concise and easy to understand format. Language Translation: ChatGPT can be used to communicate with patients who speak different languages, this can facilitate communication and ensure that the patient understands and follows the care plan. It’s worth noting that, as with any technology, it’s important for cardiovascular nurses to use ChatGPT in accordance with professional standards and guidelines, and to review any output generated by ChatGPT for accuracy and completeness before using it in patient care. To what extent this is all true and if it would lead to accurate information is still to be tested. As ChatGPT stipulates, it remains crucial that the output is evaluated by professionals for accuracy and completeness. As an example, we asked ChatGPT what is known about the psychological impact of COVID-19 in adults with congenital heart disease, because this topic is relevant for clinicians.3,4 The response is given in Figure 1. The most recent data are not included, because the system is trained up to 2021. This is a limitation that is indicated by ChatGPT itself, when asked for references to empirical work (Figure 1). Example of a clinical question. ChatG
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“Specifically, ChatGPT was listed in several sources as an efficient and promising tool for conducting comprehensive literature reviews and generating computer codes, thereby saving time for the research steps that require more efforts from human intelligence (e.g., the focus on experimental design) [14,27,28,41,44,46,47,60,71,72].”
From ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023) · cites this paper as [28]
In the citing paper
“First, superficial, inaccurate, or incorrect content was frequently cited as a shortcoming of ChatGPT use in scientific writing [14,28,29,40,60].”
From ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023) · cites this paper as [28]
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Cites
Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00819-6 · Cited by 1,099
ChatGPT listed as author on research papers: many scientists disapprove
Stokel-Walker, C. (2023) · Nature · doi:10.1038/d41586-023-00107-z · Cited by 868
Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse?
O’Connor, S., & ChatGPT (2023) · Nurse Education in Practice · doi:10.1016/j.nepr.2022.103537 · Cited by 585
AI bot ChatGPT writes smart essays — should professors worry?
Stokel-Walker, C. (2022) · Nature · doi:10.1038/d41586-022-04397-7 · Cited by 543
Applications of artificial intelligence for nursing: has a new era arrived?
Bulck, L. V., Couturier, R., & Moons, P. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac097 · Cited by 73
Self-citationMoons, P., Luyckx, K., Thomet, C., Budts, W., Enomoto, J., Sluman, M. A., Yang, H., Jackson, J. L., Khairy, P., Cook, S. C., et al. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac057 · Cited by 19
Self-citationMoons, P., Goossens, E., Luyckx, K., Kovacs, A. H., Andresen, B., Moon, J. R., Bruaene, A. V. D., Rassart, J., Bulck, L. V., Budts, W., et al. (2021) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvab120 · Cited by 17
Self-citationClark, A. M., & Thompson, D. R. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac012 · Cited by 6
COVID-19 impact on adults with congenital heart disease self-perceived vulnerability and coping
Steiner, J. M., Baden, A. C., Blakeney, E. A., Freeman, V., Stout, K., Rosenberg, A. R., Engelberg, R. A., & Curtis, J. R. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac049 · Cited by 4
Research works printed but not linked: 1
- Gao, 2022, Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers, Biorxiv
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Heart Health Detector GPT Based on GPT-4o Model
Bansal, N., & Singla, B. (2024) · Automation Control and Intelligent Systems · doi:10.11648/j.acis.20241204.13 · Cited by 2
USO DO CHATGPT POR ESTUDANTES ITALIANOS NA UNIVERSIDADE DEGLI STUDI DI PERUGIA-UNIPG
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Lisičić, A., Jordán, A., Šerman, A., Jurin, I., Novák, A., Pavlović, N., Manola, Š., & Zeljković, I. (2024) · Research Square · doi:10.21203/rs.3.rs-4047752/v1 · Cited by 1
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Yalazı, R. Ö., & Demırcı, N. (2024) · Health Problems of Civilization · doi:10.5114/hpc.2023.133989
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Júnior, A. J. S. C., de Santana, M. E., Araújo, J. S., Prates, P. E. G., de Oliveira, M. D. F. V., Paraizo-Horvath, C. M. S., Caravaca‐Morera, J. A., & Sonobe, H. M. (2025) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232025305.00662025
Júnior, A. J. S. C., de Santana, M. E., Araújo, J. S., Prates, P. E. G., de Oliveira, M. D. F. V., Paraizo-Horvath, C. M. S., Caravaca‐Morera, J. A., & Sonobe, H. M. (2025) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232025305.00662025en
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Metadata
- Authors
- Moons, P., & Van Bulck, L.
- Affiliations
- University of Cape Town (ZA)
- KU Leuven Department of Public Health and Primary Care, KU Leuven—University of Leuven , Kapucijnenvoer 35 , Box 7001, 3000 Leuven, Belgium
- Corresponding author
- Moons, Philip
- Venue
- European Journal of Cardiovascular Nursing
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-02-08
- Volume
- 22
- Issue
- 7
- Pages
- e55-e59
- ISSN
- 1474-5151 (ISSN-L)
- 1873-1953
- OpenAlex
- W4319460381
- Cited by
- 118
- References
- 9
- Citations by year
- 2026: 7 · 2025: 21 · 2024: 49 · 2023: 41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Cardiovascular Nursing (publishedVersion)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- Research Foundation Flanders (1159522N to)
- European Society of Cardiology
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- ChatGPT, large language models, generative AI, cardiovascular nursing, allied health professionals, clinical decision support, AI-generated text quality, hallucinations, academic integrity, cardiovascular research, data privacy, algorithmic bias
- MeSH terms
- Allied Health Personnel, Artificial Intelligence, Humans, Language, Nurses, Surveys and Questionnaires
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