The integration of AI in nursing: addressing current applications, challenges, and future directions
Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, and areas that require further investigati...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1545420/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823859188663582720 |
|---|---|
| author | Qiuying Wei Songcheng Pan Songcheng Pan Xiaoyu Liu Mei Hong Chunying Nong Weiqi Zhang |
| author_facet | Qiuying Wei Songcheng Pan Songcheng Pan Xiaoyu Liu Mei Hong Chunying Nong Weiqi Zhang |
| author_sort | Qiuying Wei |
| collection | DOAJ |
| description | Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, and areas that require further investigation. A comprehensive analysis of recent studies highlights the use of AI in clinical decision support systems, patient monitoring, and nursing education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, and the need for workforce adaptation. Significant gaps in the literature are also evident, such as the limited development of nursing-specific AI tools, insufficient long-term impact assessments, and the absence of comprehensive ethical frameworks tailored to nursing contexts. The potential of AI to reshape personalized care, advance robotics in nursing, and address global health challenges is explored in depth. This review integrates existing knowledge and identifies critical areas for future research, emphasizing the necessity of aligning AI advancements with the specific needs of nursing. Addressing these gaps is essential to fully harness AI's potential while reducing associated risks, ultimately enhancing nursing practice and improving patient outcomes. |
| format | Article |
| id | doaj-art-880f8124c029486984a1a52f88fbcb95 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-880f8124c029486984a1a52f88fbcb952025-02-11T06:59:42ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-02-011210.3389/fmed.2025.15454201545420The integration of AI in nursing: addressing current applications, challenges, and future directionsQiuying Wei0Songcheng Pan1Songcheng Pan2Xiaoyu Liu3Mei Hong4Chunying Nong5Weiqi Zhang6Anesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaGuangdong Lingnan Nightingale Nursing Academy, Guangzhou, Guangdong, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaAnesthesia Surgery Center, The First Affiliated Hospital of Guangxi Medical University, Naning, Guangxi, ChinaArtificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, and areas that require further investigation. A comprehensive analysis of recent studies highlights the use of AI in clinical decision support systems, patient monitoring, and nursing education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, and the need for workforce adaptation. Significant gaps in the literature are also evident, such as the limited development of nursing-specific AI tools, insufficient long-term impact assessments, and the absence of comprehensive ethical frameworks tailored to nursing contexts. The potential of AI to reshape personalized care, advance robotics in nursing, and address global health challenges is explored in depth. This review integrates existing knowledge and identifies critical areas for future research, emphasizing the necessity of aligning AI advancements with the specific needs of nursing. Addressing these gaps is essential to fully harness AI's potential while reducing associated risks, ultimately enhancing nursing practice and improving patient outcomes.https://www.frontiersin.org/articles/10.3389/fmed.2025.1545420/fullnursingartificial intelligencehealthcarenursing practiceintegration |
| spellingShingle | Qiuying Wei Songcheng Pan Songcheng Pan Xiaoyu Liu Mei Hong Chunying Nong Weiqi Zhang The integration of AI in nursing: addressing current applications, challenges, and future directions Frontiers in Medicine nursing artificial intelligence healthcare nursing practice integration |
| title | The integration of AI in nursing: addressing current applications, challenges, and future directions |
| title_full | The integration of AI in nursing: addressing current applications, challenges, and future directions |
| title_fullStr | The integration of AI in nursing: addressing current applications, challenges, and future directions |
| title_full_unstemmed | The integration of AI in nursing: addressing current applications, challenges, and future directions |
| title_short | The integration of AI in nursing: addressing current applications, challenges, and future directions |
| title_sort | integration of ai in nursing addressing current applications challenges and future directions |
| topic | nursing artificial intelligence healthcare nursing practice integration |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1545420/full |
| work_keys_str_mv | AT qiuyingwei theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT songchengpan theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT songchengpan theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT xiaoyuliu theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT meihong theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT chunyingnong theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT weiqizhang theintegrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT qiuyingwei integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT songchengpan integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT songchengpan integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT xiaoyuliu integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT meihong integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT chunyingnong integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections AT weiqizhang integrationofaiinnursingaddressingcurrentapplicationschallengesandfuturedirections |