Toward amplifying the good in nursing education: A quality improvement study on implementing artificial intelligence-based assistants in a learning system.
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| Title: | Toward amplifying the good in nursing education: A quality improvement study on implementing artificial intelligence-based assistants in a learning system. |
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| Authors: | Russell RG; Vanderbilt University School of Nursing, Nashville, TN. Electronic address: regina.russell@vanderbilt.edu., White J; Vanderbilt University Computer Science Department, Vanderbilt University, Nashville, TN; Vanderbilt University Center for Generative AI, College of Connected Computing, Nashville, TN., Karns A; Vanderbilt University Center for Generative AI, College of Connected Computing, Nashville, TN., Rodriguez K; Vanderbilt University Center for Generative AI, College of Connected Computing, Nashville, TN., Jeffries PR; Vanderbilt University School of Nursing, Nashville, TN., Sengstack P; Vanderbilt University School of Nursing, Nashville, TN. |
| Source: | Nursing outlook [Nurs Outlook] 2025 Sep-Oct; Vol. 73 (5), pp. 102483. Date of Electronic Publication: 2025 Jul 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Mosby Country of Publication: United States NLM ID: 0401075 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3968 (Electronic) Linking ISSN: 00296554 NLM ISO Abbreviation: Nurs Outlook Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40663996 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Toward amplifying the good in nursing education: A quality improvement study on implementing artificial intelligence-based assistants in a learning system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Russell+RG%22">Russell RG</searchLink>; Vanderbilt University School of Nursing, Nashville, TN. Electronic address: regina.russell@vanderbilt.edu.<br /><searchLink fieldCode="AU" term="%22White+J%22">White J</searchLink>; Vanderbilt University Computer Science Department, Vanderbilt University, Nashville, TN; Vanderbilt University Center for Generative AI, College of Connected Computing, Nashville, TN.<br /><searchLink fieldCode="AU" term="%22Karns+A%22">Karns A</searchLink>; Vanderbilt University Center for Generative AI, College of Connected Computing, Nashville, TN.<br /><searchLink fieldCode="AU" term="%22Rodriguez+K%22">Rodriguez K</searchLink>; Vanderbilt University Center for Generative AI, College of Connected Computing, Nashville, TN.<br /><searchLink fieldCode="AU" term="%22Jeffries+PR%22">Jeffries PR</searchLink>; Vanderbilt University School of Nursing, Nashville, TN.<br /><searchLink fieldCode="AU" term="%22Sengstack+P%22">Sengstack P</searchLink>; Vanderbilt University School of Nursing, Nashville, TN. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401075%22">Nursing outlook</searchLink> [Nurs Outlook] 2025 Sep-Oct; Vol. 73 (5), pp. 102483. <i>Date of Electronic Publication: </i>2025 Jul 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Mosby%22">Mosby </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401075 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1528-3968 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200296554%22">00296554 </searchLink><i>NLM ISO Abbreviation: </i>Nurs Outlook <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40663996 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.outlook.2025.102483 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 102483 Titles: – TitleFull: Toward amplifying the good in nursing education: A quality improvement study on implementing artificial intelligence-based assistants in a learning system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Russell RG – PersonEntity: Name: NameFull: White J – PersonEntity: Name: NameFull: Karns A – PersonEntity: Name: NameFull: Rodriguez K – PersonEntity: Name: NameFull: Jeffries PR – PersonEntity: Name: NameFull: Sengstack P IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2025 Sep-Oct Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1528-3968 Numbering: – Type: volume Value: 73 – Type: issue Value: 5 Titles: – TitleFull: Nursing outlook Type: main |
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