Exploring the Utility of ChatGPT in Nursing Care Plan Development: A Qualitative Evaluation of Standardized Nursing Classifications Alignment.
Introduction: Generative artificial intelligence tools, such as ChatGPT, are being increasingly explored for their potential use in nursing education, particularly in clinical documentation and care planning. This study aimed to evaluate the alignment of ChatGPT-generated nursing care plans with sta...
| Publicado en: | Lokman Hekim Health Sciences Vol. 5; no. 2; pp. 170 - 181 |
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| Autores principales: | , |
| Formato: | case study research tables/charts Journal Article |
| Publicado: |
KARE Publishing
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188334165&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188334165 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 27917835 N1MV jtl: Lokman Hekim Health Sciences issn: 27917835 maglogo: N pubinfo: dt: Aug2025 vid: 5 iid: 2 pid: 62027 pub: KARE Publishing artinfo: ui: 188334165 188334165 188334165 10.14744/lhhs.2025.16105 188334165 ppf: 170 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Exploring the Utility of ChatGPT in Nursing Care Plan Development: A Qualitative Evaluation of Standardized Nursing Classifications Alignment. aug: au: Çalık, Afra Özkul, Denizhan affil: Department of Nursing, Süleyman Demirel University, Isparta, Türkiye. sug: subj: Artificial Intelligence, Generative Nursing Care Plans Nursing Classification Students, Nursing Learning Patient Care Plans Human Multimethod Studies Nursing Diagnosis Nursing Interventions Classification NANDA Nursing Diagnoses Education, Nursing Descriptive Research Academic Medical Centers Turkiye Purposive Sample Quality Improvement Checklists Content Analysis Interrater Reliability Evaluation Male Female Aged Middle Age Adult Aged, 80 and Over Aged: 65+ years Middle Aged: 45-64 years Adult: 19-44 years Aged, 80 & over Male Female ab: Introduction: Generative artificial intelligence tools, such as ChatGPT, are being increasingly explored for their potential use in nursing education, particularly in clinical documentation and care planning. This study aimed to evaluate the alignment of ChatGPT-generated nursing care plans with standardized nursing classifications and to assess the educational utility of AI-assisted care planning in nursing student learning. Methods: A mixed-methods design was employed, combining quantitative analysis of care plan quality using a 3-point Likert scale with a qualitative expert review of nursing diagnoses and interventions based on alignment with NANDA-I nursing diagnoses and nursing interventions classification. Ten students used GPT-3.5 to generate ten care plans based on patient data. The development of prompts was through iterative testing. Results: Among the 30 nursing diagnoses evaluated, 43.3% were entirely appropriate, 40% partially appropriate, and 16.7% inappropriate. Nursing interventions demonstrated slightly better performance, with 50% being entirely appropriate, 36.7% partially appropriate, and 13.3% inappropriate. ChatGPT could generate nursing diagnoses and interventions but often misclassified priorities or used vague language. Discussion and Conclusion: ChatGPT can support nursing education when used as a supplementary tool; however, expert supervision is necessary to ensure safe and contextually valid care planning. pubtype: Academic Journal doctype: case study research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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