Year: 2024
Type: article
Abstract: This paper analyses the effect of GDPR on healthcare. The information provided by patients for their healthcare database is a personal information and cannot be made public under normal conditions. However, the regulations regarding the same have not been developed effectively and need a lot of modification. This paper analyses the same challenge. It tries to balance data privacy and data access in a way that artificial intelligence (AI) is allowed to develop in the health care domain while taking care that a patient’s data is not exposed to the public. With reference to the General Data Protection Regulation (GDPR) in Europe, it is all the more necessary to consider the ethical concerns of data governance. The paper emphasises the need for an inclusive approach that considers both the benefits of AI and the protection of data privacy. It talks about the necessity of robust government data frameworks, stringent privacy protections, consent procedures, and data anonymization techniques. The rules and regulations applied in this domain need to be extremely clear for collection, storage, and processing of healthcare data. This is necessary to avoid any potential breach of data. This paper compares the various data governance strategies employed by European countries. This includes Germany’s cautious approach that prioritises patient consent and Finland's more liberal approach to fostering big data legislation. It explains the difficulty that arises in both such systems while explaining the need for standardized and regulatory framework of healthcare data. The research also discusses privacy issues, the trade-off between data sharing and excessive data protection, and the challenges presented by biases in AI development. It suggests the development of efficient data governance frameworks and regulatory mechanisms to address the privacy issues. It emphasises on equitable resource allocation, evidence-based healthcare practises, and bridging the digital gap.
Author: Arshita Anand
Institution: Chanakya National Law University
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7217546513