Ethical boundaries and data‐sharing practices in AI‐enhanced nursing: An Arab perspective
Aim This study explored the ethical boundaries and data‐sharing practices in artificial intelligence (AI)‐enhanced nursing from the perspective of Arab nurses. Background Although AI offers advancements in clinical decision‐making and operational efficiency, it also presents challenges such as ethic...
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| Vydané v: | International nursing review Ročník 72; číslo 1; s. e70013 - n/a |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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England
01.03.2025
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| ISSN: | 0020-8132, 1466-7657, 1466-7657 |
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| Abstract | Aim
This study explored the ethical boundaries and data‐sharing practices in artificial intelligence (AI)‐enhanced nursing from the perspective of Arab nurses.
Background
Although AI offers advancements in clinical decision‐making and operational efficiency, it also presents challenges such as ethical dilemmas, data privacy concerns, and technical issues. These challenges are being addressed through continuous education, the development of robust ethical guidelines, and the implementation of transparent data‐sharing practices
Methods
A qualitative approach was employed, adhering to the Standards for Reporting Qualitative Research (SRQR) guidelines. Fourteen registered nurses from healthcare facilities in Abha City, Saudi Arabia, were selected through purposive sampling. Data were collected through semistructured interviews, observational data and document analysis. Thematic analysis was used to analyze the data.
Results
Nurses reported that AI technologies enhance clinical decision‐making and efficiency by automating routine tasks. However, they also highlighted ethical challenges, including conflicts between AI recommendations and patient preferences, the need for continuous training, and resource constraints. The importance of maintaining human interaction and empathy in nursing practice was emphasized.
Discussion
The findings align with existing literature on the benefits and challenges of AI in nursing. Ethical dilemmas, particularly related to data privacy and informed consent, require careful management. Continuous education and adequate resources are essential for successful AI integration.
Conclusion
AI in nursing not only offers significant benefits but also presents ethical and practical challenges. Clear ethical guidelines, continuous education, and adequate resources are crucial for optimizing AI integration.
Implications for nursing
AI can enhance clinical decision‐making and efficiency, allowing nurses to focus on patient interaction and critical thinking.
Implications for health policy
Develop robust ethical frameworks and data protection regulations. Implement continuous professional development programs and ensure adequate resources for AI integration in healthcare. |
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| AbstractList | This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab nurses.
Although AI offers advancements in clinical decision-making and operational efficiency, it also presents challenges such as ethical dilemmas, data privacy concerns, and technical issues. These challenges are being addressed through continuous education, the development of robust ethical guidelines, and the implementation of transparent data-sharing practices METHODS: A qualitative approach was employed, adhering to the Standards for Reporting Qualitative Research (SRQR) guidelines. Fourteen registered nurses from healthcare facilities in Abha City, Saudi Arabia, were selected through purposive sampling. Data were collected through semistructured interviews, observational data and document analysis. Thematic analysis was used to analyze the data.
Nurses reported that AI technologies enhance clinical decision-making and efficiency by automating routine tasks. However, they also highlighted ethical challenges, including conflicts between AI recommendations and patient preferences, the need for continuous training, and resource constraints. The importance of maintaining human interaction and empathy in nursing practice was emphasized.
The findings align with existing literature on the benefits and challenges of AI in nursing. Ethical dilemmas, particularly related to data privacy and informed consent, require careful management. Continuous education and adequate resources are essential for successful AI integration.
AI in nursing not only offers significant benefits but also presents ethical and practical challenges. Clear ethical guidelines, continuous education, and adequate resources are crucial for optimizing AI integration.
AI can enhance clinical decision-making and efficiency, allowing nurses to focus on patient interaction and critical thinking.
Develop robust ethical frameworks and data protection regulations. Implement continuous professional development programs and ensure adequate resources for AI integration in healthcare. Aim This study explored the ethical boundaries and data‐sharing practices in artificial intelligence (AI)‐enhanced nursing from the perspective of Arab nurses. Background Although AI offers advancements in clinical decision‐making and operational efficiency, it also presents challenges such as ethical dilemmas, data privacy concerns, and technical issues. These challenges are being addressed through continuous education, the development of robust ethical guidelines, and the implementation of transparent data‐sharing practices Methods A qualitative approach was employed, adhering to the Standards for Reporting Qualitative Research (SRQR) guidelines. Fourteen registered nurses from healthcare facilities in Abha City, Saudi Arabia, were selected through purposive sampling. Data were collected through semistructured interviews, observational data and document analysis. Thematic analysis was used to analyze the data. Results Nurses reported that AI technologies enhance clinical decision‐making and efficiency by automating routine tasks. However, they also highlighted ethical challenges, including conflicts between AI recommendations and patient preferences, the need for continuous training, and resource constraints. The importance of maintaining human interaction and empathy in nursing practice was emphasized. Discussion The findings align with existing literature on the benefits and challenges of AI in nursing. Ethical dilemmas, particularly related to data privacy and informed consent, require careful management. Continuous education and adequate resources are essential for successful AI integration. Conclusion AI in nursing not only offers significant benefits but also presents ethical and practical challenges. Clear ethical guidelines, continuous education, and adequate resources are crucial for optimizing AI integration. Implications for nursing AI can enhance clinical decision‐making and efficiency, allowing nurses to focus on patient interaction and critical thinking. Implications for health policy Develop robust ethical frameworks and data protection regulations. Implement continuous professional development programs and ensure adequate resources for AI integration in healthcare. This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab nurses.AIMThis study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab nurses.Although AI offers advancements in clinical decision-making and operational efficiency, it also presents challenges such as ethical dilemmas, data privacy concerns, and technical issues. These challenges are being addressed through continuous education, the development of robust ethical guidelines, and the implementation of transparent data-sharing practices METHODS: A qualitative approach was employed, adhering to the Standards for Reporting Qualitative Research (SRQR) guidelines. Fourteen registered nurses from healthcare facilities in Abha City, Saudi Arabia, were selected through purposive sampling. Data were collected through semistructured interviews, observational data and document analysis. Thematic analysis was used to analyze the data.BACKGROUNDAlthough AI offers advancements in clinical decision-making and operational efficiency, it also presents challenges such as ethical dilemmas, data privacy concerns, and technical issues. These challenges are being addressed through continuous education, the development of robust ethical guidelines, and the implementation of transparent data-sharing practices METHODS: A qualitative approach was employed, adhering to the Standards for Reporting Qualitative Research (SRQR) guidelines. Fourteen registered nurses from healthcare facilities in Abha City, Saudi Arabia, were selected through purposive sampling. Data were collected through semistructured interviews, observational data and document analysis. Thematic analysis was used to analyze the data.Nurses reported that AI technologies enhance clinical decision-making and efficiency by automating routine tasks. However, they also highlighted ethical challenges, including conflicts between AI recommendations and patient preferences, the need for continuous training, and resource constraints. The importance of maintaining human interaction and empathy in nursing practice was emphasized.RESULTSNurses reported that AI technologies enhance clinical decision-making and efficiency by automating routine tasks. However, they also highlighted ethical challenges, including conflicts between AI recommendations and patient preferences, the need for continuous training, and resource constraints. The importance of maintaining human interaction and empathy in nursing practice was emphasized.The findings align with existing literature on the benefits and challenges of AI in nursing. Ethical dilemmas, particularly related to data privacy and informed consent, require careful management. Continuous education and adequate resources are essential for successful AI integration.DISCUSSIONThe findings align with existing literature on the benefits and challenges of AI in nursing. Ethical dilemmas, particularly related to data privacy and informed consent, require careful management. Continuous education and adequate resources are essential for successful AI integration.AI in nursing not only offers significant benefits but also presents ethical and practical challenges. Clear ethical guidelines, continuous education, and adequate resources are crucial for optimizing AI integration.CONCLUSIONAI in nursing not only offers significant benefits but also presents ethical and practical challenges. Clear ethical guidelines, continuous education, and adequate resources are crucial for optimizing AI integration.AI can enhance clinical decision-making and efficiency, allowing nurses to focus on patient interaction and critical thinking.IMPLICATIONS FOR NURSINGAI can enhance clinical decision-making and efficiency, allowing nurses to focus on patient interaction and critical thinking.Develop robust ethical frameworks and data protection regulations. Implement continuous professional development programs and ensure adequate resources for AI integration in healthcare.IMPLICATIONS FOR HEALTH POLICYDevelop robust ethical frameworks and data protection regulations. Implement continuous professional development programs and ensure adequate resources for AI integration in healthcare. |
| Author | Badawy, Walaa Zinhom, Haithm Shaban, Mostafa Helal, Mohamed M. I. Hashim, Amal |
| Author_xml | – sequence: 1 givenname: Walaa orcidid: 0000-0002-8154-0038 surname: Badawy fullname: Badawy, Walaa organization: King Khaled University – sequence: 2 givenname: Mohamed M. I. orcidid: 0000-0002-0869-3169 surname: Helal fullname: Helal, Mohamed M. I. organization: Northern Private College for Nursing, ARAR – sequence: 3 givenname: Amal surname: Hashim fullname: Hashim, Amal organization: Faculty of Nursing, Minia University – sequence: 4 givenname: Haithm orcidid: 0000-0002-0491-1894 surname: Zinhom fullname: Zinhom, Haithm organization: Mohammed Bin Zayed University for Humanities – sequence: 5 givenname: Mostafa orcidid: 0000-0001-7822-1653 surname: Shaban fullname: Shaban, Mostafa email: mostafa.shaban2020@cu.edu.eg organization: Cairo University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40070199$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1186/s12909‐023‐04698‐z 10.7759/cureus.37826 10.1016/B978-0-12-818438-7.00002-2 10.1016/j.heliyon.2024.e25718 10.1177/23333928241234863 10.2147/AMEP.S448422 10.1016/j.glmedi.2024.100072 10.1093/jamia/ocz192 10.1177/09697330241230515 10.3390/su151310723 10.3934/publichealth.2024019 10.1016/j.socscimed.2022.114782 10.2196/50048 10.4018/979-8-3693-1822-5.ch011 10.1191/1478088706qp063oa 10.1159/000509119 10.1038/s41746‐023‐00899‐4 10.2196/22269 10.2471/BLT.19.237198 10.3390/info15060299 10.1016/j.nepr.2021.103039 10.7861/futurehosp.6‐2‐94 10.3390/healthcare12101025 10.1080/13600834.2019.1573501 10.1186/s12910‐022‐00816‐6 10.2991/jegh.k.191211.001 10.7759/cureus.51150 10.7759/cureus.49252 10.1016/j.ijnss.2023.06.005 10.1186/s12910‐021‐00687‐3 10.4103/aam.aam_192_23 10.1186/s12910‐023‐00976‐z 10.1001/jamasurg.2021.0525 10.23958/ijirms/vol07‐i11/1558 10.3389/fgene.2022.927721 10.1007/s43681‐022‐00217‐w 10.7759/cureus.57256 10.3390/jpm13060951 10.14569/ijacsa.2019.0101015 10.2196/13484 10.18502/ijph.v50i11.7600 10.1056/NEJMsb2005114 |
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| References_xml | – volume: 10 issue: 2 year: 2021 article-title: Ethical issues in patient data ownership publication-title: Interactive Journal of Medical Research – start-page: 201 year: 2024 end-page: 216 – volume: 7 start-page: 666 issue: 11 year: 2022 end-page: 670 article-title: Artificial intelligence in health care and its application in Saudi Arabia publication-title: International Journal of Innovative Research in Medical Science – volume: 24 start-page: 88 issue: 1 year: 2023 article-title: The future of FemTech ethics and privacy: a global perspective publication-title: BMC Medical Ethics – volume: 10 issue: 4 year: 2024 article-title: Artificial intelligence in future nursing care: exploring perspectives of nursing professionals: a descriptive qualitative study publication-title: Heliyon – volume: 23 start-page: 82 issue: 1 year: 2022 article-title: Current state of ethical challenges reported in Saudi Arabia: a systematic review and bibliometric analysis from 2010 to 2021 publication-title: BMC Medical Ethics – volume: 21 issue: 5 year: 2019 article-title: Use and understanding of anonymization and de‐identification in the biomedical literature: scoping review publication-title: Journal of Medical Internet Research – volume: 382 start-page: 2049 issue: 21 year: 2020 end-page: 2055 article-title: Fair allocation of scarce medical resources in the time of covid‐19 publication-title: New England Journal of Medicine – volume: 13 year: 2022 article-title: The future regulation of artificial intelligence systems in healthcare services and medical research in the European Union publication-title: Frontiers in Genetics – volume: 3 year: 2024 article-title: Artificial intelligence in nursing: current trends, possibilities and pitfalls publication-title: Journal of Medicine, Surgery, and Public Health – volume: 11 start-page: 379 issue: 2 year: 2024 end-page: 398 article-title: Challenges of nursing students during clinical training: a nursing perspective publication-title: AIMS Public Health – volume: 23 start-page: 343 issue: 3 year: 2024 end-page: 351 article-title: The Saudi community view of the use of artificial intelligence in health care publication-title: Annals of African Medicine – volume: 27 start-page: 491 issue: 3 year: 2020 end-page: 497 article-title: A governance model for the application of AI in health care publication-title: Journal of the American Medical Informatics Association – start-page: 25 year: 2020 end-page: 60 – volume: 3 start-page: 963 issue: 3 year: 2023 end-page: 974 article-title: Explainable AI lacks regulative reasons: why AI and human decision‐making are not equally opaque publication-title: AI and Ethics – volume: 23 start-page: 689 issue: 1 year: 2023 article-title: Revolutionizing healthcare: the role of artificial intelligence in clinical practice publication-title: BMC Medical Education – volume: 3 start-page: 77 issue: 2 year: 2006 end-page: 101 article-title: Using thematic analysis in psychology publication-title: Qualitative Research in Psychology – volume: 15 start-page: 299 issue: 6 year: 2024 article-title: The era of artificial intelligence deception: unraveling the complexities of false realities and emerging threats of misinformation publication-title: Information – volume: 12 year: 2024 article-title: Toward fairness, accountability, transparency, and ethics in AI for social media and health care: scoping review publication-title: JMIR Medical Informatics – volume: 30 start-page: 17 issue: 1 year: 2021 end-page: 28 article-title: Principles of clinical ethics and their application to practice publication-title: Medical Principles and Practice – volume: 13 start-page: 951 issue: 6 year: 2023 article-title: A review of the role of artificial intelligence in healthcare publication-title: Journal of Personalized Medicine – volume: 10 start-page: 143 issue: 2 year: 2020 article-title: Top ethical issues concerning healthcare providers working in Saudi Arabia publication-title: Journal of Epidemiology and Global Health – volume: 6 start-page: 94 issue: 2 year: 2019 end-page: 98 article-title: The potential for artificial intelligence in healthcare publication-title: Future Healthcare Journal – volume: 12 start-page: 1025 issue: 10 year: 2024 article-title: Explainable artificial intelligence in quantifying breast cancer factors: Saudi Arabia context publication-title: Healthcare – volume: 296 year: 2022 article-title: SHIFTing artificial intelligence to be responsible in healthcare: a systematic review publication-title: Social Science & Medicine – year: 2024 article-title: Artificial intelligence in healthcare: a study of physician attitudes and perceptions in Jeddah, Saudi Arabia publication-title: Cureus – volume: 11 year: 2024 article-title: Artificial intelligence and decision‐making in healthcare: a thematic analysis of a systematic review of reviews publication-title: Health Services Research and Managerial Epidemiology – volume: 10 start-page: 105 issue: 10 year: 2019 end-page: 109 article-title: Discovering gaps in Saudi education for digital health transformation publication-title: International Journal of Advanced Computer Science and Applications – volume: 28 start-page: 65 issue: 1 year: 2019 end-page: 98 article-title: The European Union general data protection regulation: what it is and what it means publication-title: Information & Communications Technology Law – volume: 98 start-page: 245 issue: 4 year: 2020 end-page: 250 article-title: Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare publication-title: Bulletin of the World Health Organization – year: 2023 article-title: Saudi Arabia health systems challenging and future transformation with artificial intelligence publication-title: Cureus – volume: 31 start-page: 1031 year: 2024 end-page: 1040 article-title: Ethical considerations for artificial intelligence use in nursing informatics publication-title: Nursing Ethics – volume: 6 start-page: 161 issue: 1 year: 2023 article-title: Barriers and facilitators to utilizing digital health technologies by healthcare professionals publication-title: Npj Digital Medicine – volume: 156 start-page: 875 issue: 9 year: 2021 article-title: SRQR and COREQ reporting guidelines for qualitative studies publication-title: JAMA Surgery – volume: 15 issue: 11 year: 2023 article-title: Harnessing the power of AI: a comprehensive review of its impact and challenges in nursing science and healthcare publication-title: Cureus – year: 2021 article-title: Ethical issues of artificial intelligence in medicine and healthcare publication-title: Iranian Journal of Public Health – volume: 15 start-page: 269 year: 2024 end-page: 280 article-title: Knowledge, attitude and practice toward artificial intelligence among healthcare workers in private polyclinics in Jeddah, Saudi Arabia publication-title: Advances in Medical Education and Practice – volume: 15 issue: 13 year: 2023 article-title: Prospers and obstacles in using artificial intelligence in Saudi Arabia higher education institutions—the potential of AI‐based learning outcomes publication-title: Sustainability – volume: 15 issue: 12 year: 2023 article-title: Can artificial intelligence replace the unique nursing role? publication-title: Cureus – volume: 22 start-page: 122 issue: 1 year: 2021 article-title: Privacy and artificial intelligence: challenges for protecting health information in a new era publication-title: BMC Medical Ethics – volume: 52 year: 2021 article-title: Professional identity in nursing: a mixed method research study publication-title: Nurse Education in Practice – volume: 10 start-page: 398 issue: 3 year: 2023 end-page: 402 article-title: Nursing in a posthuman era: towards a technology‐integrated ecosystem of care publication-title: International Journal of Nursing Sciences – ident: e_1_2_11_11_1 doi: 10.1186/s12909‐023‐04698‐z – ident: e_1_2_11_33_1 doi: 10.7759/cureus.37826 – ident: e_1_2_11_12_1 doi: 10.1016/B978-0-12-818438-7.00002-2 – ident: e_1_2_11_32_1 doi: 10.1016/j.heliyon.2024.e25718 – ident: e_1_2_11_23_1 doi: 10.1177/23333928241234863 – ident: e_1_2_11_37_1 doi: 10.2147/AMEP.S448422 – ident: e_1_2_11_2_1 doi: 10.1016/j.glmedi.2024.100072 – ident: e_1_2_11_31_1 doi: 10.1093/jamia/ocz192 – ident: e_1_2_11_39_1 doi: 10.1177/09697330241230515 – ident: e_1_2_11_10_1 doi: 10.3390/su151310723 – ident: e_1_2_11_27_1 doi: 10.3934/publichealth.2024019 – ident: e_1_2_11_35_1 doi: 10.1016/j.socscimed.2022.114782 – ident: e_1_2_11_36_1 doi: 10.2196/50048 – ident: e_1_2_11_34_1 doi: 10.4018/979-8-3693-1822-5.ch011 – ident: e_1_2_11_14_1 doi: 10.1191/1478088706qp063oa – ident: e_1_2_11_38_1 doi: 10.1159/000509119 – ident: e_1_2_11_13_1 doi: 10.1038/s41746‐023‐00899‐4 – ident: e_1_2_11_16_1 doi: 10.2196/22269 – ident: e_1_2_11_22_1 doi: 10.2471/BLT.19.237198 – ident: e_1_2_11_40_1 doi: 10.3390/info15060299 – ident: e_1_2_11_30_1 doi: 10.1016/j.nepr.2021.103039 – ident: e_1_2_11_17_1 doi: 10.7861/futurehosp.6‐2‐94 – ident: e_1_2_11_5_1 doi: 10.3390/healthcare12101025 – ident: e_1_2_11_21_1 doi: 10.1080/13600834.2019.1573501 – ident: e_1_2_11_41_1 doi: 10.1186/s12910‐022‐00816‐6 – ident: e_1_2_11_9_1 doi: 10.2991/jegh.k.191211.001 – ident: e_1_2_11_25_1 doi: 10.7759/cureus.51150 – ident: e_1_2_11_42_1 doi: 10.7759/cureus.49252 – ident: e_1_2_11_43_1 doi: 10.1016/j.ijnss.2023.06.005 – ident: e_1_2_11_26_1 doi: 10.1186/s12910‐021‐00687‐3 – ident: e_1_2_11_4_1 doi: 10.4103/aam.aam_192_23 – ident: e_1_2_11_6_1 doi: 10.1186/s12910‐023‐00976‐z – ident: e_1_2_11_18_1 doi: 10.1001/jamasurg.2021.0525 – ident: e_1_2_11_7_1 doi: 10.23958/ijirms/vol07‐i11/1558 – ident: e_1_2_11_24_1 doi: 10.3389/fgene.2022.927721 – ident: e_1_2_11_29_1 doi: 10.1007/s43681‐022‐00217‐w – ident: e_1_2_11_8_1 doi: 10.7759/cureus.57256 – ident: e_1_2_11_3_1 doi: 10.3390/jpm13060951 – ident: e_1_2_11_28_1 doi: 10.14569/ijacsa.2019.0101015 – ident: e_1_2_11_15_1 doi: 10.2196/13484 – ident: e_1_2_11_20_1 doi: 10.18502/ijph.v50i11.7600 – ident: e_1_2_11_19_1 doi: 10.1056/NEJMsb2005114 |
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This study explored the ethical boundaries and data‐sharing practices in artificial intelligence (AI)‐enhanced nursing from the perspective of Arab nurses.... This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab nurses.... This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab... |
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| SubjectTerms | academic subject Adult advanced practice Arabs - psychology Artificial Intelligence - ethics clinical decision‐making ethics Ethics, Nursing Female health policy Humans Information Dissemination - ethics information technology Male Middle Aged nursing policy qualitative descriptive Qualitative Research Saudi Arabia |
| Title | Ethical boundaries and data‐sharing practices in AI‐enhanced nursing: An Arab perspective |
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