Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Evaluating the Impact of Data Protection Compliance on AI Development and Deployment in the U.S. Health sector

Breadcrumb

  • Home
  • Evaluating the Impact of Data Protection Compliance on AI Development and Deployment in the U.S. Health sector

Emmanuel Utomi 1, Adewale Samuel Osifowokan 2, Alice Ama Donkor 3 and Isaac Amornortey Yowetu 3, *

1 Department of Computing and Informatics, College of Science, University of Louisiana at Lafayette, LA, USA.
2 Renegeron Pharmaceuticals, New York, USA.
3 Klerconsult, El Paso, TX, USA.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(02), 1100-1110
Article DOI: 10.30574/wjarr.2024.24.2.3398
DOI url: https://doi.org/10.30574/wjarr.2024.24.2.3398

 

Received on 29 September 2024; revised on 09 November 2024; accepted on 11 November 2024
 
This paper evaluates the impact of data protection Compliance on artificial intelligence development and deployment in the U.S. Health sector. As AI technologies develop quickly, worries about data security and privacy have increased, especially in delicate industries like healthcare. HIPAA, or the Health Insurance Portability and Accountability Act, and CCPA, or California Consumer Privacy Act, are two important U.S. laws that are examined in this paper along with their comparison to the European Union's General Data Protection Regulation, or GDPR. The intersection of AI and data protection regulations is also examined. The analysis emphasizes the necessity for privacy-by-design principles and the development of openness and accountability, and it shows how these policies affect AI developers, healthcare providers, and other stakeholders. Through an analysis of the opportunities and obstacles posed by the CCPA and HIPAA, the paper offers useful guidance for managing the regulatory environment and promoting innovation in AI development. The study reports that observing data protection rules is not only required by law but also strategically crucial for fostering public confidence and guaranteeing the moral application of AI in healthcare. The paper finally concludes that maintaining a sustainable growth of AI applications in the U.S. healthcare industry requires striking a balance between technological advancement and stringent data privacy procedures and compliance as AI continues to advance.
 
Artificial intelligence; Data protection; Compliance; U.S. healthcare; HIPAA; CCPA; Privacy laws
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-3398.pdf

Preview Article PDF

Emmanuel Utomi, Adewale Samuel Osifowokan, Alice Ama Donkor and Isaac Amornortey Yowetu. Evaluating the Impact of Data Protection Compliance on AI Development and Deployment in the U.S. Health sector. World Journal of Advanced Research and Reviews, 2024, 24(2), 1100-1110. Article DOI: https://doi.org/10.30574/wjarr.2024.24.2.3398

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution