Scope of Artificial Intelligence (AI) in Data Privacy and Security Concerns in Healthcare: A Narrative Review
Year: 2025
Type: review
Abstract: This study looks at how artificial intelligence (AI) affects patient data security and privacy in healthcare. AI, which can think like humans, is improving healthcare by making diagnostics better, personalizing treatments, and making hospital operations more efficient. However, there are big concerns about keeping patient data private and secure. AI needs a lot of data, which increases the risk of unauthorized access to sensitive information. This raises ethical issues and the potential misuse of personal data. Devices like wearables and the Internet of Medical Things (IoMT) make these problems worse. The study explores methods to protect privacy, such as special encryption techniques and secure data processing methods. It highlights the importance of strong authentication, maintaining data accuracy, and being transparent about how AI systems use data. Ethical concerns like bias and accountability are also discussed. The study concludes that while AI can greatly improve healthcare, it is crucial to have strong security measures to protect patient data. By doing this, healthcare systems can ensure patient privacy, build trust, and use AI responsibly and effectively, creating a safer and more reliable healthcare environment.
Author: Sonu Deshmukh, Shivani Shahu*, Thorvi Kubde, Kunal Darote, Payal Deshmukh
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949500085
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