Incorporation of artificial intelligence into nursing research: A scoping review
<h3>Background</h3><p dir="ltr">The integration of artificial intelligence (AI) across different sectors, notably healthcare, is on the rise. However, a thorough exploration of AI's incorporation into nursing research, as well as its advantages and obstacles, is stil...
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| مؤلفون آخرون: | , , |
| منشور في: |
2024
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| _version_ | 1864513540993318912 |
|---|---|
| author | Yasin M. Yasin (14779381) |
| author2 | Areej Al‐Hamad (21325142) Kateryna Metersky (10844202) Vahe Kehyayan (21241649) |
| author2_role | author author author |
| author_facet | Yasin M. Yasin (14779381) Areej Al‐Hamad (21325142) Kateryna Metersky (10844202) Vahe Kehyayan (21241649) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yasin M. Yasin (14779381) Areej Al‐Hamad (21325142) Kateryna Metersky (10844202) Vahe Kehyayan (21241649) |
| dc.date.none.fl_str_mv | 2024-07-05T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1111/inr.13013 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Incorporation_of_artificial_intelligence_into_nursing_research_A_scoping_review/29024012 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Health sciences Health services and systems Nursing Public health Information and computing sciences Artificial intelligence Data management and data science Human-centred computing Artificial intelligence Benefit Challenge Nursing Research Review |
| dc.title.none.fl_str_mv | Incorporation of artificial intelligence into nursing research: A scoping review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background</h3><p dir="ltr">The integration of artificial intelligence (AI) across different sectors, notably healthcare, is on the rise. However, a thorough exploration of AI's incorporation into nursing research, as well as its advantages and obstacles, is still lacking.</p><h3>Objective</h3><p dir="ltr">The aim of this scoping review was to map the roles, benefits, challenges, and potentials for the future development and use of AI in the context of nursing research.</p><h3>Methods</h3><p dir="ltr">An exhaustive search was conducted across seven databases: MEDLINE, PsycINFO, SCOPUS, Web of Science, CINAHL, Google Scholar, and ProQuest. Articles were additionally identified through manual examination of reference lists of the articles that were included in the study. The search criteria were restricted to articles published in English between 2010 and 2023. The Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA‐ScR guidelines guided the processes of source selection, data extraction, and data presentation.</p><h3>Results</h3><p dir="ltr">Twenty articles met the inclusion criteria, covering topics from ethical considerations to methodological issues and AI's capabilities in data analysis and predictive modeling.</p><h3>Conclusion</h3><p dir="ltr">The review identified both the potentials and complexities of integrating AI into nursing research. Ethical and legal considerations warrant a coordinated approach from multiple stakeholders.</p><h3>Implication</h3><p dir="ltr">The findings emphasized AI's potential to revolutionize nursing research, underscoring the need for ethical guidelines, equitable access, and AI literacy training to ensure its responsible and inclusive use.</p><h2>Other Information</h2><p dir="ltr">Published in: International Nursing Review<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1111/inr.13013" target="_blank">https://dx.doi.org/10.1111/inr.13013</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_a970bdce5045accc1663d1fb1ec70b67 |
| identifier_str_mv | 10.1111/inr.13013 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29024012 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Incorporation of artificial intelligence into nursing research: A scoping reviewYasin M. Yasin (14779381)Areej Al‐Hamad (21325142)Kateryna Metersky (10844202)Vahe Kehyayan (21241649)Health sciencesHealth services and systemsNursingPublic healthInformation and computing sciencesArtificial intelligenceData management and data scienceHuman-centred computingArtificial intelligenceBenefitChallengeNursingResearchReview<h3>Background</h3><p dir="ltr">The integration of artificial intelligence (AI) across different sectors, notably healthcare, is on the rise. However, a thorough exploration of AI's incorporation into nursing research, as well as its advantages and obstacles, is still lacking.</p><h3>Objective</h3><p dir="ltr">The aim of this scoping review was to map the roles, benefits, challenges, and potentials for the future development and use of AI in the context of nursing research.</p><h3>Methods</h3><p dir="ltr">An exhaustive search was conducted across seven databases: MEDLINE, PsycINFO, SCOPUS, Web of Science, CINAHL, Google Scholar, and ProQuest. Articles were additionally identified through manual examination of reference lists of the articles that were included in the study. The search criteria were restricted to articles published in English between 2010 and 2023. The Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA‐ScR guidelines guided the processes of source selection, data extraction, and data presentation.</p><h3>Results</h3><p dir="ltr">Twenty articles met the inclusion criteria, covering topics from ethical considerations to methodological issues and AI's capabilities in data analysis and predictive modeling.</p><h3>Conclusion</h3><p dir="ltr">The review identified both the potentials and complexities of integrating AI into nursing research. Ethical and legal considerations warrant a coordinated approach from multiple stakeholders.</p><h3>Implication</h3><p dir="ltr">The findings emphasized AI's potential to revolutionize nursing research, underscoring the need for ethical guidelines, equitable access, and AI literacy training to ensure its responsible and inclusive use.</p><h2>Other Information</h2><p dir="ltr">Published in: International Nursing Review<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1111/inr.13013" target="_blank">https://dx.doi.org/10.1111/inr.13013</a></p>2024-07-05T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1111/inr.13013https://figshare.com/articles/journal_contribution/Incorporation_of_artificial_intelligence_into_nursing_research_A_scoping_review/29024012CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/290240122024-07-05T03:00:00Z |
| spellingShingle | Incorporation of artificial intelligence into nursing research: A scoping review Yasin M. Yasin (14779381) Health sciences Health services and systems Nursing Public health Information and computing sciences Artificial intelligence Data management and data science Human-centred computing Artificial intelligence Benefit Challenge Nursing Research Review |
| status_str | publishedVersion |
| title | Incorporation of artificial intelligence into nursing research: A scoping review |
| title_full | Incorporation of artificial intelligence into nursing research: A scoping review |
| title_fullStr | Incorporation of artificial intelligence into nursing research: A scoping review |
| title_full_unstemmed | Incorporation of artificial intelligence into nursing research: A scoping review |
| title_short | Incorporation of artificial intelligence into nursing research: A scoping review |
| title_sort | Incorporation of artificial intelligence into nursing research: A scoping review |
| topic | Health sciences Health services and systems Nursing Public health Information and computing sciences Artificial intelligence Data management and data science Human-centred computing Artificial intelligence Benefit Challenge Nursing Research Review |