Reliability and Quality of AI-Generated Nursing Care Plans: A 2-Year Follow-Up Comparing GPT-3.5 and GPT-5
CIN - Computers Informatics Nursing, ss.1-7, 2026 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1097/cin.0000000000001627
- Dergi Adı: CIN - Computers Informatics Nursing
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, CINAHL, EMBASE, MEDLINE
- Sayfa Sayıları: ss.1-7
- Anahtar Kelimeler: Artificial Intelligence, Chatbot, ChatGPT, Nursing care, Nursing education
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet
Özet
Advancements in large language models have increased the use of AI-generated content in nursing education; however, concerns remain regarding the reliability and quality of such outputs. This study aimed to evaluate the reliability and quality of nursing care plans generated by ChatGPT-5 and to compare them with those previously produced using ChatGPT-3.5. This methodological follow-up study used a descriptive and comparative design. Forty nursing diagnoses previously analyzed in 2023 were re-evaluated using ChatGPT-5 to ensure methodological continuity. Generated care plans were assessed using a descriptive criteria form and the DISCERN instrument. Paired comparisons were conducted using the Wilcoxon signed-rank test. ChatGPT-5-generated care plans showed significantly higher numbers of total and accessible references and higher DISCERN reliability and total scores than those reported in the 2023 evaluation of ChatGPT-3.5. No significant differences were observed in care-related information quality or overall quality scores; however, category-based analyses showed a shift toward higher quality levels. ChatGPT-5-generated nursing care plans showed higher reference accessibility and reliability scores than those reported in the 2023 evaluation of ChatGPT-3.5 using the same nursing diagnoses, although human oversight remains essential, particularly regarding reference accuracy.