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Medical Data Protection: The Interaction of the Right to Privacy and Artificial Intelligence
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Navid Zamaneh Ghadim *1    , Aram Abbaspour jalali1 |
| 1- Department of Law, Roshdiyeh Institute of Higher Education, Tabriz, Iran. |
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Abstract: (323 Views) |
Background and Aim: Advances in healthcare artificial intelligence are occurring rapidly, and the debate about managing its development is increasing. Many AI technologies are ultimately owned and controlled by private entities. The nature of AI implementation could mean that such companies, clinics and public bodies will play a more than usual role in acquiring, using and protecting patient health information. This raises implementation privacy and data security issues. The first challenge involves accessing, using and controlling privately owned patient data. Some recent public-private partnerships to implement artificial intelligence have resulted in weak privacy protections. As such, there are calls for more systematic oversight of big data health research. Appropriate measures should be in place to protect patient privacy and representation. Private data custodians can be influenced by competing objectives and should be structurally incentivized to ensure data protection and prevent alternative uses. Another set of concerns relates to the external risk of privacy violations through AI-based methods. The ability to de-identify or de-identify patient health data may be compromised or even invalidated by new algorithms that have successfully de-identified such data. This can increase the risk to privately held patient data.
Methods: This article is written in a descriptive-analytical way.
Ethical Considerations: In all stages of writing the present research, while respecting the originality of the texts, honesty and trustworthiness have been observed.
Results: Production data can be used to fill data gaps created by these institution-driven perceptions and prevent artificial intelligence systems from becoming inoperable. As for the issue of re-identification, there will be a need for new and improved forms of data protection and anonymization.
Conclusion: We are currently in a situation where regulations and oversight are in danger of falling behind the technologies that govern them. Regulations should emphasize patient representation and consent and should encourage more sophisticated methods of anonymization and data protection. |
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| Keywords: Right to Privacy, Artificial Intelligence, Bioethics, Medical Data |
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Full-Text [PDF 531 kb]
(263 Downloads)
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Type of Study: Original Article |
Received: 2024/08/20 | Accepted: 2024/10/23 | Published: 2024/11/26
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