Evidence map›Paper›PMID 41526908›Full record

ArticleBMC nursing2026

Comparative analysis of nursing care plans produced by artificial intelligence models (ChatGPT, Gemini, and DeepSeek) in terms of readability, reliability, and quality.

Mucahide Gokcen Gokalp, Sebnem Cınar Yucel

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Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mucahide Gokcen GokalpDepartment of Nursing, Faculty of Health Sciences, Amasya University, Amasya, 05100, Turkey. mucahide.gokcen@amasya.edu.tr.ORCID http://orcid.org/0000-0002-3790-7875
Sebnem Cınar YucelDepartment of Fundamentals of Nursing, Faculty of Health Sciences, Ege University, Izmir, 35100, Turkey.ORCID http://orcid.org/0000-0002-8904-7395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile AI chatbots have increased access to healthcare information, evidence regarding the readability, reliability, and overall quality of nursing care plans generated by these systems remains limited. PURPOSE: This study aimed to comparatively evaluate nursing care plan texts generated by ChatGPT, Gemini, and DeepSeek in terms of readability, reliability, and overall quality.

methodsThirty nursing diagnoses were randomly selected from the NANDA International 2021–2023 taxonomy. For each diagnosis, nursing care plans were generated using three AI chatbots, resulting in 90 texts. Outputs were comparatively evaluated using a descriptive information form, the DISCERN instrument, and multiple readability measures (FRES, SMOG, Gunning Fog Index, and Flesch–Kincaid Grade Level).

resultsReadability analyses indicated that nursing care plans generated by all three AI models significantly exceeded the recommended sixth-grade reading level (P < .001). DISCERN scores reflected moderate reliability, with mean scores of 57.41 ± 5.9 for ChatGPT, 58.41 ± 4.8 for Gemini, and 56.51 ± 6.8 for DeepSeek. Overall, 27 texts (90%) were rated as providing nursing care information of moderate quality. The presence of verifiable references demonstrated a statistically significant positive association with both reliability and quality scores (P < .05).

conclusionAlthough AI chatbots demonstrate potential as supportive tools in nursing education and documentation, they should not be used as standalone resources for generating complete nursing care plans without professional review. Improvements in content clarity, reference accuracy, and expert oversight are necessary to enhance their applicability in nursing practice.

Indexed as

ChatbotChatGPTDeepSeekGeminiNursing careNursing care plan

Identifiers

PMID41526908
PMCPMC12888260

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