Safeguarding Patient Privacy: Ethical AI Frameworks for Secure Healthcare Data Management
DOI:
https://doi.org/10.36676/dira.v12.i1.148Keywords:
Ethical AIAbstract
In this paper, AI is regarded as effective in healthcare in terms of its ability to manage data and patient care better and make processes functional. However, AI integration in health care systems raises high-risk ethical concerns, such as patient information, privacy, and safety. In this paper, the writer aims to discover some of the drawbacks of using AI in health systems, especially in data management, from the perspective of patients' privacy policy. Extrapolating from live cases and simulations, reports, and legal analysis, this paper concludes with guidelines on the ethical and efficient protection of healthcare data through AI. It also explains the challenges facing the implementation of these frameworks and how privacy can be further minimized to increase the utility of AI in the healthcare .
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