Assessing Artificial Intelligence-Generated Patient Educational Material on Gestational Diabetes Mellitus
Yazarlar (1)
Dr. Öğr. Üyesi Nuran Nur AYPAR AKBAĞ Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Perinatal and Neonatal Nursing (Q2) | ||
| Dergi ISSN | 0893-2190 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2025 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-07-2025 |
| Cilt / Sayı / Sayfa | 39 / 3 / 210–217 | DOI | 10.1097/JPN.0000000000000905 |
| Makale Linki | https://doi.org/10.1097/jpn.0000000000000905 | ||
| UAK Araştırma Alanları |
Doğum ve Kadın Hastalıkları Hemşireliği
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| Özet |
| Purpose This study aims to evaluate the content and quality of patient educational materials on gestational diabetes mellitus (GDM) generated by ChatGPT and Gemini. Background The sources of knowledge are crucial in the effective management of disease. Artificial intelligence (AI) platforms could become a primary source of patient education materials in the near future. Methods A descriptive research design was employed. Frequently asked questions related to GDM were extracted from patient education sections of existing guidelines. These questions were then submitted to both ChatGPT and Gemini. The responses provided by these platforms were used to create educational material aimed at pregnant women diagnosed with GDM. The content was reviewed by a panel of 11 experts. The Patient Education Materials Assessment Tool for Printed Materials (PEMAT-P) was employed to evaluate the content’s … |
| Anahtar Kelimeler |
| artificial intelligence | ChatGPT | Gemini | gestational diabetes mellitus | patient educational material | readability |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 2 |
| Google Scholar | 4 |