Leading with AI in critical care nursing: challenges, opportunities, and the human factor
While AI presents opportunities for automation and data analysis, successful integration hinges on addressing concerns about overreliance, workflow adaptation, and potential bias. Building trust and fostering collaboration are fundamentals for AI integration. Transparency in AI systems allows nurses to confidently delegate tasks, while collaboration empowers them to focus on human-centered care with AI support. Ultimately, dealing with the ethical concerns of AI in ICU care requires prioritizing patient autonomy and ensuring accountability in AI-driven decisions.
Authors
- Eman Arafa Hassan (ORCID: https://orcid.org/0000-0002-2283-2137)
- Ayman Mohamed El‐Ashry (ORCID: https://orcid.org/0000-0001-7718-4942)
Institutions
- Jouf University (SA)
- Alexandria University (EG)
Publication Details
- Journal
- BMC Nursing
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1186/s12912-024-02363-4
- Citations
- 46
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.53
Funders
- Alexandria University