Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals’ perspectives
The integration of AI-CDSS into healthcare resource allocation presents both opportunities and significant ethical challenges. Our findings underscore the need for robust ethical frameworks, enhanced AI literacy among healthcare professionals, interdisciplinary collaboration, and rigorous monitoring and evaluation processes. Addressing these challenges proactively is crucial for harnessing the potential of AI-CDSS while preserving the fundamental values of equity, transparency, and patient-centered care in healthcare delivery.
Authors
- Cansu Yüksel Elgin (ORCID: https://orcid.org/0000-0002-3120-8782)
- Ceyhun Elgin (ORCID: https://orcid.org/0009-0004-7940-7061)
Institutions
- American University in Bulgaria (BG)
- Istanbul University-Cerrahpaşa (TR)
- Boğaziçi University (TR)
- Istanbul University (TR)
Publication Details
- Journal
- BMC Medical Ethics
- Published
- 2024-12-21
- DOI
- https://doi.org/10.1186/s12910-024-01151-8
- Citations
- 40
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 4.81