Development of a prompt template to support simulation design: Maximizing the potential of generative artificial intelligence.
• Generative AI can elevate designing simulations. • Variation exists between generative AI models in output quality and focus. • AI-generated prompt template reduces faculty workload. • Human component essential for ensuring AI-generated output reliability. Generative AI tools like ChatGPT are rapi...
| Publicado en: | Clinical Simulation in Nursing Vol. 108 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Nov2025
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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=189007114&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189007114 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18761399 85TC jtl: Clinical Simulation in Nursing issn: 18761399 maglogo: N pubinfo: dt: Nov2025 vid: 108 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 189007114 189007114 189007114 10.1016/j.ecns.2025.101822 189007114 ppct: 1 formats: tig: atl: Development of a prompt template to support simulation design: Maximizing the potential of generative artificial intelligence. aug: au: Robison, Elizabeth Cooney, Theresa Schwaab, Tammy Rahman, Sami affil: Northwest Florida State College, Niceville, FL 32578, USA sug: subj: Communication Methods Patient Simulation Standards Artificial Intelligence, Generative Human Faculty, Nursing Attention Decision Making Validity Learning ab: • Generative AI can elevate designing simulations. • Variation exists between generative AI models in output quality and focus. • AI-generated prompt template reduces faculty workload. • Human component essential for ensuring AI-generated output reliability. Generative AI tools like ChatGPT are rapidly changing academia and healthcare, particularly in nursing education through their ability to assist in creating clinical simulation scenarios. The key to effectively using these tools lies in prompt engineering, the careful crafting of inputs to guide AI outputs. An initiative by nurse educators explored how prompt engineering, aligned with established simulation standards, could streamline scenario design. The findings revealed variations in output quality and focus among different AI platforms (ChatGPT, CoPilot, Claude), highlighting the need for careful selection and human oversight to ensure accuracy and relevance in AI-generated simulation content. This iterative process of prompt refinement holds significant promise for creating more engaging and effective learning experiences, but AI serves as a tool that augments, not replaces, the expertise of nursing simulationists. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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