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 March 2026 (Volume 29, Issue 3) Submit manuscript

Integration of AI into CRM for Effective U.S. healthcare and pharmaceutical marketing

Breadcrumb

  • Home
  • Integration of AI into CRM for Effective U.S. healthcare and pharmaceutical marketing

Onyekachukwu Victor Unanah 1, * and Olu James Mbanugo 2 

1 AI Technology and Healthcare Business (Marketing), Robert H. Smith School of Business, University of Maryland, Maryland, USA.

2 Department of Healthcare Management & Informatics, Coles College of Business, Kennesaw State University, Georgia, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 25(02), 609-630

Article DOI: 10.30574/wjarr.2025.25.2.0396

DOI url: https://doi.org/10.30574/wjarr.2025.25.2.0396

Received on 28 December 2024; revised on 02 February 2025; accepted on 05 February 2025

The integration of Artificial Intelligence (AI) into Customer Relationship Management (CRM) systems is revolutionizing the landscape of U.S. healthcare and pharmaceutical marketing. As the healthcare sector becomes increasingly patient-centric, the need for personalized, data-driven marketing strategies is paramount. AI-powered CRM platforms offer the ability to analyze vast datasets, uncovering patterns and insights that facilitate more effective targeting of healthcare providers and patients. This integration enhances the ability of pharmaceutical companies to deliver tailored content, optimize engagement strategies, and improve overall patient management. By leveraging machine learning algorithms, natural language processing, and predictive analytics, AI-driven CRMs can anticipate patient behaviors, forecast healthcare provider needs, and identify optimal communication channels. In the pharmaceutical sector, this technological synergy supports the development of personalized marketing campaigns that align with regulatory standards while addressing the specific needs of healthcare professionals and patient populations. Additionally, AI integration streamlines operational workflows, automating routine tasks, and freeing up resources for more strategic initiatives. Despite these advancements, challenges such as data privacy concerns, compliance with healthcare regulations like HIPAA, and ensuring ethical AI use remain critical considerations. Developing robust integration models that balance technological innovation with regulatory compliance is essential for maximizing the potential of AI-CRM systems in healthcare marketing. This paper explores the methodologies for integrating AI with CRM platforms, examines case studies of successful implementations, and discusses the future implications for healthcare and pharmaceutical marketing in the U.S. The findings underscore the transformative potential of AI in enhancing marketing effectiveness, fostering better healthcare provider relationships, and improving patient outcomes.

Artificial Intelligence; Customer Relationship Management; Healthcare Marketing; Pharmaceutical Industry; Patient Management; Predictive Analytics

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0396.pdf

Preview Article PDF

Onyekachukwu Victor Unanah and Olu James Mbanugo. Integration of AI into CRM for Effective U.S. healthcare and pharmaceutical marketing. World Journal of Advanced Research and Reviews, 2025, 25(2), 609-630. Article DOI: https://doi.org/10.30574/wjarr.2025.25.2.0396

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