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Article(id=1322167985247208206, tenantId=1146029695717560320, journalId=1220038315760373764, issueId=1322167871413796899, articleNumber=null, orderNo=null, doi=10.12102/j.issn.1009-6493.2026.03.019, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1742140800000, receivedDateStr=2025-03-17, revisedDate=1767715200000, revisedDateStr=2026-01-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1793159012375, onlineDateStr=2026-10-28, pubDate=1770652800000, pubDateStr=2026-02-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793159012375, onlineIssueDateStr=2026-10-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793159012375, creator=13701087609, updateTime=1793159012375, updator=13701087609, issue=Issue{id=1322167871413796899, tenantId=1146029695717560320, journalId=1220038315760373764, year='2026', volume='40', issue='3', pageStart='353', pageEnd='528', issueExtLink='null', onlineDate='null', pubDate='1770652800000', pubDateStr='2026-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793158985236, creator='13701087609', updateTime=1793158985236, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=484, endPage=489, ext={EN=ArticleExt(id=1322167985423368975, articleId=1322167985247208206, tenantId=1146029695717560320, journalId=1220038315760373764, language=EN, title=Research of artificial intelligence literacy in the nursing field:a scoping review, columnId=1220689485315101342, journalTitle=Chinese Nursing Research, columnName=Review Articles, runingTitle=null, highlight=null, articleAbstract=
Objective

To summary the current status and prospects of the application of artificial intelligence literacy in the nursing field,to provide theoretical basis for the subsequent localization of artificial intelligence literacy assessment tools and the construction of nursing artificial intelligence literacy education system.

Methods

Relevant literature on the application of artificial intelligence literacy in the nursing field in CNKI,WanFang Data,VIP database,SinoMed,PubMed,Web of Science,EMbase,Cochrane Library were searched.The retrieval period spanned from the establishment of the database to March 8,2025.

Results

A total of 6 articles were included.Two of them were about the current artificial intelligence literacy status of clinical nurses.Two articles were on the cultivation of nursing education system literacy.Two articles were on the literacy development among nursing students.Four articles were used assessment tools for artificial intelligence literacy.

Conclusions

Artificial intelligence literacy is constantly deepening in the field of nursing.There is an urgent need to develop localized assessment tools,to explore culturally adapted education systems,and to integrate clinical practice paths to adapt the development of nursing disciplines in the new era.

, authors=Lin LIU, Shan ZHANG, Ziyue GAI, Baohua CAO, authorsList=Lin LIU, Shan ZHANG, Ziyue GAI, Baohua CAO, authorCompany=null, correspAuthors=Baohua CAO, authorNote=null, correspAuthorsNote=
CAO Baohua, E-mail:
, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322167985846993682, articleId=1322167985247208206, tenantId=1146029695717560320, journalId=1220038315760373764, language=CN, title=人工智能素养在护理领域研究的范围综述, columnId=1220689485482873504, journalTitle=护理研究, columnName=科研综述, runingTitle=null, highlight=null, articleAbstract=
目的

综述人工智能素养在护理领域应用的现状及前景，为后续人工智能素养评估工具的汉化、本土化评估工具的研发、护理人工智能素养教育体系的构建提供理论依据。

方法

检索中国知网、万方数据库、维普数据库、中国生物医学文献服务系统、PubMed、Web of Science、EMbase、Cochrane Library数据库中关于人工智能素养在护理领域应用的相关文献。检索时限为各数据库建库至2025年3月8日。

结果

共纳入6篇文献，其中2篇为临床工作护士的素养现状；2篇为护理教育体系的素养培养；2篇为护理学生群体的素养发展；4篇应用了人工智能素养的评估工具。

结论

人工智能素养在护理领域正不断深入发展，亟须开发本土化评估工具，探索文化适配的教育体系，打通临床实践整合路径，以适应新时代护理学科的发展。

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刘琳，硕士研究生在读

, correspAuthorsNote=
曹宝花，E-mail：
CAO Baohua, E-mail:
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articleId=1322167985247208206, doi=null, pmid=null, pmcid=null, year=2024, volume=12, issue=21, pageStart=2172, pageEnd=null, url=null, language=null, rfNumber=37, rfOrder=36, authorNames=YANG Y, journalName=Healthcare, refType=null, unstructuredReference=YANG Y.Influences of digital literacy and moral sensitivity on artificial intelligence ethics awareness among nursing students[J].Healthcare,2024,12(21):2172., articleTitle=Influences of digital literacy and moral sensitivity on artificial intelligence ethics awareness among nursing students, refAbstract=null), Reference(id=1322529998674703337, tenantId=1146029695717560320, journalId=1220038315760373764, articleId=1322167985247208206, doi=null, pmid=null, pmcid=null, year=2024, volume=7, issue=null, pageStart=e62678, pageEnd=null, url=null, language=null, rfNumber=38, rfOrder=37, authorNames=BALL DUNLAP P A, MICHALOWSKI M, journalName=JMIR Nursing, refType=null, unstructuredReference=BALL DUNLAP P A,MICHALOWSKI M.Advancing AI data 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authorNames=BUCHANAN C, HOWITT M L, WILSON R, journalName=JMIR Nursing, refType=null, unstructuredReference=BUCHANAN C,HOWITT M L,WILSON R,et al.Predicted influences of artificial intelligence on nursing education:scoping review[J].JMIR Nursing,2021,4(1):e23933., articleTitle=Predicted influences of artificial intelligence on nursing education:scoping review, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1322529989816333209, tenantId=1146029695717560320, journalId=1220038315760373764, articleId=1322167985247208206, xref=1, ext=[AuthorCompanyExt(id=1322529989828916122, tenantId=1146029695717560320, journalId=1220038315760373764, articleId=1322167985247208206, companyId=1322529989816333209, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1Department of Nursing, Air Force Medical University, Shaanxi 710032 China), AuthorCompanyExt(id=1322529989841499035, tenantId=1146029695717560320, 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Basic characteristics of the included literature（n=6）

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纳入研究国家研究方法研究领域评估工具研究内容研究结果
Kahraman等[8]2025土耳其横断面研究临床护理人工智能素养量表围术期护士的人工智能素养水平及相关因素围术期护士人工智能素养处于中等水平，且受年龄、性别、技术熟悉度影响
Cheng等[9]2024中国文献综述护理教育分析国内外人工智能素养研究及结合我国研究提出护理教育适配策略人工智能素养是未来护理教育的核心能力，应进行课程改革适应护理专业发展需求
Özçevik Subaşi等[10]2025土耳其横断面研究临床护理人工智能素养量表、人工智能焦虑量表、对人工智能的一般态度量表儿科护士的人工智能素养、人工智能焦虑与人工智能态度之间的相关性研究护士对人工智能的态度显著影响其人工智能素养和焦虑水平
Poter等[11]2024美国文献综述护理教育如何通过提升人工智能素养消除人工智能在护理教育中的偏见护理教育须培养人工智能素养，使学生能识别并纠正算法偏见
Tseng等[12]2025中国混合方法
实证研究		护理教育Meta人工智能素养量表人工智能素养及生成式人工智能工具对护理学生学术报告写作能力的影响整合人工智能工具可提升学生的人工智能素养和学术写作能力，但需注意个性化
El-Sayed等[13]2025埃及横断面
研究		护理教育非专家人工智能素养评估量表、创新思维能力量表、职业与人才发展自我效能表人工智能素养对护理学生创新思维和职业与才能自我效能的影响人工智能素养是创新思维转化为职业自信的关键调节因素
), ArticleFig(id=1322529994027414465, tenantId=1146029695717560320, journalId=1220038315760373764, articleId=1322167985247208206, language=CN, label=表1, caption=

纳入文献的基本特征（n=6）

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纳入研究国家研究方法研究领域评估工具研究内容研究结果
Kahraman等[8]2025土耳其横断面研究临床护理人工智能素养量表围术期护士的人工智能素养水平及相关因素围术期护士人工智能素养处于中等水平，且受年龄、性别、技术熟悉度影响
Cheng等[9]2024中国文献综述护理教育分析国内外人工智能素养研究及结合我国研究提出护理教育适配策略人工智能素养是未来护理教育的核心能力，应进行课程改革适应护理专业发展需求
Özçevik Subaşi等[10]2025土耳其横断面研究临床护理人工智能素养量表、人工智能焦虑量表、对人工智能的一般态度量表儿科护士的人工智能素养、人工智能焦虑与人工智能态度之间的相关性研究护士对人工智能的态度显著影响其人工智能素养和焦虑水平
Poter等[11]2024美国文献综述护理教育如何通过提升人工智能素养消除人工智能在护理教育中的偏见护理教育须培养人工智能素养，使学生能识别并纠正算法偏见
Tseng等[12]2025中国混合方法
实证研究		护理教育Meta人工智能素养量表人工智能素养及生成式人工智能工具对护理学生学术报告写作能力的影响整合人工智能工具可提升学生的人工智能素养和学术写作能力，但需注意个性化
El-Sayed等[13]2025埃及横断面
研究		护理教育非专家人工智能素养评估量表、创新思维能力量表、职业与人才发展自我效能表人工智能素养对护理学生创新思维和职业与才能自我效能的影响人工智能素养是创新思维转化为职业自信的关键调节因素
), ArticleFig(id=1322529994107106242, tenantId=1146029695717560320, journalId=1220038315760373764, articleId=1322167985247208206, language=EN, label=Table 2, caption=

Assessment tools of artificial intelligence literacy

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评估工具条目数（个）维度评分方式应用特点
人工智能素养量表12意识、使用、评价、伦理Likert 7级用于评估一般人群人工智能素养水平
Meta人工智能素养量表34人工智能素养、创建人工智能、人工智能自我效能、人工智能自我能力Likert 5级用于评估一般人群人工智能素养水平和技能缺口，整合了技术能力和心理能力维度
非专家人工智能素养评估量表31技术理解、批判性评价、实际应用Likert 7级用于评估非人工智能专业从业人员的人工智能素养水平
), ArticleFig(id=1322529994170020803, tenantId=1146029695717560320, journalId=1220038315760373764, articleId=1322167985247208206, language=CN, label=表2, caption=

人工智能素养评估工具

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评估工具条目数（个）维度评分方式应用特点
人工智能素养量表12意识、使用、评价、伦理Likert 7级用于评估一般人群人工智能素养水平
Meta人工智能素养量表34人工智能素养、创建人工智能、人工智能自我效能、人工智能自我能力Likert 5级用于评估一般人群人工智能素养水平和技能缺口，整合了技术能力和心理能力维度
非专家人工智能素养评估量表31技术理解、批判性评价、实际应用Likert 7级用于评估非人工智能专业从业人员的人工智能素养水平
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人工智能素养在护理领域研究的范围综述
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刘琳 , 张珊 , 盖孜越 , 曹宝花 *, *
护理研究 | 科研综述 2026,40(3): 484-489
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护理研究 |科研综述 2026 , 40 (3) : 484 -489
人工智能素养在护理领域研究的范围综述
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刘琳, 张珊, 盖孜越, 曹宝花*, *
作者信息
  • 1空军军医大学护理系，陕西 710032
通讯作者:
曹宝花，E-mail：
CAO Baohua, E-mail:
作者简介:

刘琳，硕士研究生在读

Research of artificial intelligence literacy in the nursing field:a scoping review
Lin LIU, Shan ZHANG, Ziyue GAI, Baohua CAO
Affiliations
  • 1Department of Nursing, Air Force Medical University, Shaanxi 710032 China
    • Corresponding Author:
    CAO Baohua, E-mail:
出版时间: 2026-02-10 doi: 10.12102/j.issn.1009-6493.2026.03.019
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摘要
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目的

综述人工智能素养在护理领域应用的现状及前景，为后续人工智能素养评估工具的汉化、本土化评估工具的研发、护理人工智能素养教育体系的构建提供理论依据。

方法

检索中国知网、万方数据库、维普数据库、中国生物医学文献服务系统、PubMed、Web of Science、EMbase、Cochrane Library数据库中关于人工智能素养在护理领域应用的相关文献。检索时限为各数据库建库至2025年3月8日。

结果

共纳入6篇文献，其中2篇为临床工作护士的素养现状；2篇为护理教育体系的素养培养；2篇为护理学生群体的素养发展；4篇应用了人工智能素养的评估工具。

结论

人工智能素养在护理领域正不断深入发展，亟须开发本土化评估工具，探索文化适配的教育体系，打通临床实践整合路径，以适应新时代护理学科的发展。

人工智能素养  /  护理  /  护士  /  护理教育  /  护理学生  /  范围综述  /  循证护理
Objective

To summary the current status and prospects of the application of artificial intelligence literacy in the nursing field,to provide theoretical basis for the subsequent localization of artificial intelligence literacy assessment tools and the construction of nursing artificial intelligence literacy education system.

Methods

Relevant literature on the application of artificial intelligence literacy in the nursing field in CNKI,WanFang Data,VIP database,SinoMed,PubMed,Web of Science,EMbase,Cochrane Library were searched.The retrieval period spanned from the establishment of the database to March 8,2025.

Results

A total of 6 articles were included.Two of them were about the current artificial intelligence literacy status of clinical nurses.Two articles were on the cultivation of nursing education system literacy.Two articles were on the literacy development among nursing students.Four articles were used assessment tools for artificial intelligence literacy.

Conclusions

Artificial intelligence literacy is constantly deepening in the field of nursing.There is an urgent need to develop localized assessment tools,to explore culturally adapted education systems,and to integrate clinical practice paths to adapt the development of nursing disciplines in the new era.

artificial intelligence literacy  /  nursing  /  nurses  /  nursing education  /  nursing students  /  scope review  /  evidence-based nursing
刘琳, 张珊, 盖孜越, 曹宝花. 人工智能素养在护理领域研究的范围综述. 护理研究, 2026 , 40 (3) : 484 -489 . DOI: 10.12102/j.issn.1009-6493.2026.03.019
Lin LIU, Shan ZHANG, Ziyue GAI, Baohua CAO. Research of artificial intelligence literacy in the nursing field:a scoping review[J]. Chinese Nursing Research, 2026 , 40 (3) : 484 -489 . DOI: 10.12102/j.issn.1009-6493.2026.03.019
正文
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人工智能（artificial intelligence，AI）因高效性和精确性正加速重构现代医疗健康服务体系，其强大的数据处理能力和精准的决策支持为改善病人临床结局、提供更好的整体医疗保健提供了参考[1]。在相关政策引领与技术革新的双重驱动下，“人工智能+医疗”已然成为国家医疗卫生体系现代化建设的战略性方向[2-3]。人工智能技术在护理领域逐渐实现教育革新、科研范式转型的多维赋能[4]，但多呈现“技术中心主义”的应用偏倚倾向[5]。与之应运而生的人工智能素养并未受到重视，形成技术先行而素养滞后的结构性矛盾[6]。当下，国际关于护理领域人工智能素养的研究多处于理论验证与初步实践探索阶段，国内在此领域的研究相对较少。基于此，本研究采用范围综述的方法，对护理领域人工智能素养相关文献进行系统整合与分析，旨在了解人工智能素养在护理领域的发展现状，剖析国际前沿进展与本土现有概况，厘清其在护理教育革新、临床决策支持的多维价值，为后续人工智能素养评估工具的汉化、本土化评估工具的研发、护理人工智能素养教育体系的构建提供理论依据，推动形成“技术革新—素养提升—服务优化”的良性发展闭环。
1　资料与方法
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根据范围综述框架为指导，通过明确研究问题、确定相关研究、筛选目标文献、分析数据、整理并总结相关结果的步骤开展研究[7]。
1.1　确定研究问题
通过前期查阅文献，提炼出的研究问题包括：1）人工智能素养的具体概念及内涵；2）人工智能素养的相关评估工具；3）人工智能素养赋能护理领域的多维融合及效果分析。
1.2　检索策略
检索中国知网、万方数据库、维普数据库、中国生物医学文献服务系统、PubMed、Web of Science、EMbase、Cochrane Library 8个中英文数据库。采用主题词与自由词相结合的检索策略，检索逻辑词采用“OR”和“AND”进行组合，并针对不同数据库进行调整。中文数据库以中国知网为例，检索策略为：（主题：人工智能素养+AI素养）AND（主题：护理+护士+护理教育+护理学生）。英文数据库以PubMed为例，检索策略为：（（artificial intelligence literacy[Title/Abstract]） OR （AI literacy[Title/Abstract]）） AND （（（（（nursing care[Title/Abstract]） OR （nursing[Title/Abstract]）） OR （nurse[Title/Abstract]）） OR （nursing education[Title/Abstract]）） OR （nursing student[Title/Abstract]））。检索时限为各数据库建库至2025年3月8日，同时手工检索纳入文献的参考文献。
1.3　文献纳入与排除标准
根据乔安娜布里格斯研究所（Joanna Briggs Institute，JBI）发布的范围综述提出的“PCC”原则[7]，确定纳入与排除标准。纳入标准：1）研究对象（population,P）为护理领域；2）主要概念（concept，C）为聚焦人工智能素养在护理领域中的开展；3）使用情境（context，C）为在临床护理、护理教育体系、护理学生中开展的人工智能素养相关研究。排除标准：1）语种为非中文或英文；2）无法获取全文的文献；3）重复发表的文献；4）文献仅提到人工智能素养，但未详细描述其具体内容。
1.4　文献筛选与数据提取
将检索到的文献导入EndNote X9软件进行文献筛选与去重处理，由2名经过培训的研究者严格按照文献纳入与排除标准对文题、摘要进行初步筛选，再进行全文阅读并最终决定是否纳入，如遇分歧则讨论解决或征询第3名研究人员意见。最终提取内容包括作者、国家、研究方法、研究领域、评估工具、研究内容与研究结果。
2　结果
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2.1　文献筛选结果
初步检索获得相关文献165篇文献，其中中国知网6篇，万方数据库17篇，维普数据库3篇，中国生物医学文献服务系统1篇，PubMed 15篇，Web of Science 84篇，Cochrane Library 7篇，EMbase 32篇，剔除重复文献、阅读题目及摘要和全文后，最终获得文献6篇[8-13]。文献筛选流程图见图1。
2.2　纳入文献的基本特征
6篇文献[8-13]包括1篇中文文献[9]，5篇英文文献[8,10-13]；发表于2024—2025年；研究主题聚焦临床护士人工智能素养的现状、人工智能素养课程改革的可行性、护理学生培养人工智能素养的必要；文献类型包括横断面研究、文献综述、混合方法实证研究；涉及评估工具包括人工智能素养量表（AILS)、人工智能焦虑量表（AIAS）、对人工智能的一般态度量表（GAAIS）、Meta人工智能素养量表（MAILS）、非专家人工智能素养评估量表（SNAIL）、创新思维能力量表（ITCS）、职业与人才发展自我效能表（CTD-SES）。纳入研究的基本特征见表1。
2.3　人工智能素养的概念内涵及作用
20世纪70年代，Agre[14]研究提出人工智能素养一词，但并未进行详细阐述。此后，Ng等[15]将其概念化为教育学习者获得不需要先验知识的基本概念、技能、知识和态度。Long等[16]研究认为，人工智能素养是一系列能力，能够批判性评估人工智能技术，有效与人工智能沟通和协作，并在不同场所使用人工智能作为工具。但目前对于如何定义通识性的人工智能素养尚未展开充分探索[17]。护理领域的人工智能素养可概括为护理教育工作者、护理学生、临床护理从业人员在人工智能技术驱动的大环境中提供医疗保健服务时，正确认识理解、评估反思人工智能技术、正确伦理判断、创新性人机协作所需的综合能力[6,18]。随着人工智能技术加速迭代，人工智能素养逐渐成为医疗健康领域的核心能力要素[19]。通过构建领域特异性评估工具开展跨学科实证研究，系统揭示医护人员人工智能素养的结构特征，进而设计分层递进培养策略，不仅能为优化临床决策支持系统提供认知基础，更能为制定前瞻性行业标准、完善智能医疗伦理框架提供循证依据。
2.4　人工智能素养评估工具
一项有关人工智能素养评估工具的系统综述研究发现，最早的人工智能素养评估量表可追溯到2021年。评估工具的基本要素包括技术理解、应用、伦理3个基本维度，不同应用领域及目标人群的评估量表会有相应维度结构的适应性改变[18]。目前，医疗领域使用的量表多为Wang等[20]开发的人工智能素养量表、Laupichler等[21]开发并验证的非专家人工智能素养评估量表和Carolus等[22]开发的Meta人工智能素养量表。详见表2。
2.5　人工智能素养在护理领域的关注现状及影响因素
随着数字化浪潮的奔涌，人工智能素养在护理领域的重要性日益凸显。研究显示，区域教育政策导向、人工智能技术发展成熟度、现有行业行规均会影响护理教育体系中人工智能素养培养模块的权重[9,11]。Cheng等[9]整合多名学者有关人工智能素养的观点，结合我国的教育政策，讨论课程改革、产学合作框架。Porter等[11]探讨了人工智能教育实施的现实挑战，分析了进行人工智能素养教育的必要。Kahraman等[8]通过围术期护士人工智能素养水平现况调查显示，年龄与人工智能素养水平呈负相关，性别、人工智能设备接触率、技术熟练度是关键预测变量。Özçevik Subasi等[10]对儿科护士的量化研究证实，人工智能素养、人工智能焦虑与人工智能态度存在交互效应。Tseng等[12]进行干预性试验，探讨人工智能素养与生成式人工智能工具对护理学生学术报告写作能力的影响。EL-Sayed等[13]对护理学院的本科生开展人工智能试验和创新思维对职业与才能自我效能影响的研究，结果发现，护理学生的人工智能素养处于中高度水平，其中对人工智能工具的系统整合能力和创新思维为主要影响因素。
3　讨论
收起
3.1　人工智能素养在护理领域拥有广阔前景
在数智时代不断发展的大背景下，人工智能素养作为跨学科研究热点，已在多领域引发学术关注并论证实践价值[23-26]。然而，护理学领域对人工智能素养的探索稍显滞后，现有研究成果集中于近2年，且存在研究数据来源单一、研究地域分布不均等问题。国内探索尚处于初步阶段，国外研究虽取得一定成果，但多局限于横断面研究，缺乏对人工智能素养发展的长期纵向追踪，也欠缺系统性干预研究验证其有效性，无法为提升人工智能素养提供全面、有效的策略。后续的研究可以开展纵向追踪，分析人工智能素养动态变化，同时实施干预研究，设计培训课程、模拟实践场景等多样化干预方案，对比提升效果。突破横断面调查局限，构建科学全面的、标准化评估体系，推动护理实践与人工智能的深度融合发展[27]。
3.2　人工智能素养评估工具有待规范和深度开发
当前，全球人工智能素养评估呈现工具多样化但标准化不足的现状。国际学界已开发出多款具有良好信效度的人工智能素养量表[18]，并逐步应用于护理教育与实践，其使用的评估工具多为人工智能素养量表。然而，我国开发的人工智能素养量表集中在教育领域[28]。在护理领域面临双重挑战：一方面，尚未形成具有自主知识产权且经过严格信效度检验的评估工具；另一方面，现有国际评估工具缺乏中文版本，无文化适应性和临床适用性验证。因此，我国学者应紧跟国际步伐，积极推广人工智能素养概念，引进国外可靠、有效的评估工具，通过跨文化调适和严格的大样本实证研究，建立符合我国文化背景的汉化版本；同时结合我国文化和医疗背景，基于理论框架自主研制适合护理领域的本土化评估工具，为人工智能素养相关研究提供基础和条件，让其更好地适配我国护理领域的评估，更好地促进护理的发展。
3.3　人工智能素养将作为护理领域数智发展的核心标尺
护理领域的数智化转型已成为推动学科现代化发展的必然趋势[29-30]。在此进程中，如何保证个体在人工智能时代依然具有不可替代的核心竞争力，提高人工智能素养成为关键[19]。其不仅是技术能力的积累，更是人文关怀与科技智慧的融合。从护理教育的角度来看，关注人工智能数智时代，注重人工智能素养的培养，能够促进课程革新、实践融合与师资的转型，全方位促进护理学科的迭代式发展。从护理学生的角度来看，提升人工智能素养是拓宽创新边界的重要途径，在生成式人工智能广泛应用的当下，具备良好的人工智能素养，合理运用这些工具，锻炼批判性思维，深化人文关怀底蕴。对新时代的护士而言，提升人工智能素养，掌握风险把控与决策辅助能力，是更好地服务病人、提升护理质量的关键。
3.4　提升人工智能素养与护理领域的培养潜力
人工智能素养在护理领域的提升与培养可基于“人工智能知识、人工智能能力、人工智能伦理”三维一体的人工智能素养结构模型框架[19]，从而构建“教育革新-临床赋能-人才培养”的三位一体协同策略[31]。在教育革新层面，制定符合当地实际的人工智能素养发展策略，开发融合真实临床场景的人工智能素养课程[32-33]，提升教师的智能教育素养，利用智能时代数字化学习资源支持信息技术与教育教学的深度融合，推动人工智能素养的提升[34]。在临床赋能体系建设中，依据护理人员年资结构与岗位特征设计差异化培训路径，聚焦实际操作与专业判断力，提升护理工作者人工智能技术的适应能力，从而推动素养提升。对于护理学生的培养，通过翻转课堂的形式培养人工智能素养[35-36]，注重提升自身信息意识[34]，开展智能环境下的协同学习，培养其技术应用的创新转化能力和伦理判断力[37-38]，促进素养的养成。随着《“十四五”全民健康信息化规划》[39]的推进，通过政策引导建立科学、合理的人工智能素养认证标准，构建一套覆盖护理教育、执业准入、继续教育的全周期培养体系，形成“教育-实践-研究”三方闭环，实现技术整合能力与临床胜任力的精准衔接，为护理学科智能化转型提供可持续人才支撑，提升护理领域人工智能素养水平的跨步提升，为护理学的发展赋予更多的时代契合度[9,40]。
4　小结
收起
当前，人工智能在护理领域的应用正处于快速发展阶段，人工智能素养也成为护理领域的重要研究课题。本研究综合了人工智能素养在护理领域的研究结果，探讨了护理领域人工智能素养的现状及影响因素。然而，本研究仅纳入了6篇相关文献，对护理领域人工智能素养的现状剖析可能不够全面，未来须开展更多此领域的研究，为构建科学、完善的人工智能素养培育体系提供坚实的理论与实践依据，推动护理领域在人工智能时代实现高质量发展。

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doi: 10.12102/j.issn.1009-6493.2026.03.019
  • 接收时间：2025-03-17
  • 首发时间：2026-10-28
  • 出版时间：2026-02-10
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  • 收稿日期：2025-03-17
  • 修回日期：2026-01-07
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    1空军军医大学护理系，陕西 710032

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