Analyzing the Impact of Artificial Intelligence Integration on Data Protection in Healthcare Sector

The integration of Artificial Intelligence(AI) in the healthcare sector has revolutionized data operation and case care, presenting both significant benefits and substantial challenges. This exploration paper aims to dissect the impact of AI integration on data protection within the healthcare assiduity. By examining colorful AI operations similar to prophetic analytics, individual tools, and substantiated treatment plans, the study assesses the counteraccusations for patient sequestration and data security. crucial enterprises include the eventuality of data breaches, the acceptability of being legal fabrics, and the ethical considerations girding AI-driven decision-making processes. The paper also explores the measures espoused by healthcare associations to guard sensitive information and misbehave with data protection regulations. Through a comprehensive review of current practices and nonsupervisory norms, the study provides perceptivity into the balance between using AI advancements and icing robust data protection. This analysis is pivotal for guiding unborn programs and practices in healthcare data operation, aiming to enhance patient trust and secure the benefits of AI integration.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910585
Primary Topic
Digital Transformation in Law
Type
article
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article

Analyzing the Impact of Artificial Intelligence Integration on Data Protection in Healthcare Sector

Raghav Sharma, Prabhat Gautam
Digital Transformation in Law
article

Analyzing the Impact of Artificial Intelligence Integration on Data Protection in Healthcare Sector

Raghav Sharma, Prabhat Gautam
article en

Abstract

The integration of Artificial Intelligence(AI) in the healthcare sector has revolutionized data operation and case care, presenting both significant benefits and substantial challenges. This exploration paper aims to dissect the impact of AI integration on data protection within the healthcare assiduity. By examining colorful AI operations similar to prophetic analytics, individual tools, and substantiated treatment plans, the study assesses the counteraccusations for patient sequestration and data security. crucial enterprises include the eventuality of data breaches, the acceptability of being legal fabrics, and the ethical considerations girding AI-driven decision-making processes. The paper also explores the measures espoused by healthcare associations to guard sensitive information and misbehave with data protection regulations. Through a comprehensive review of current practices and nonsupervisory norms, the study provides perceptivity into the balance between using AI advancements and icing robust data protection. This analysis is pivotal for guiding unborn programs and practices in healthcare data operation, aiming to enhance patient trust and secure the benefits of AI integration.

Banasthali University (IN)
Openalex Percentile: Top 49%
Digital Transformation in Law
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