Impact of AI in personalized marketing in pharmaceutical industry
Abstract & Details
Research Area
Pharmaceuticals
Keywords
Artificial intelligence
personalized marketing
healthcare industry
patient care
digital marketing
Abstract
AI is rapidly changing the healthcare industry, presenting promising solutions for better patient care and outcomes. This review article discusses the applications of AI in personalized telehealth and digital marketing, focusing on the advantages and challenges of its implementation. In digital marketing, AI can be used to personalize customer experiences, improve ad targeting, and generate data-driven insights for effective marketing campaigns. AI can analyse customer behaviour data to identify preferences and predict future purchases. AI can also be used to create personalized product recommendations and deliver targeted advertising messages.
While AI in healthcare and marketing has potential benefits, there are also challenges to address. Ethical considerations regarding data privacy, bias, and transparency are crucial to ensuring AI is used responsibly and ethically. Regulatory frameworks need to be developed to ensure AI algorithms are safe, effective, and aligned with ethical standards. Additionally, potential biases in AI algorithms need to be identified and mitigated to prevent unfair or discriminatory outcomes. Overall, AI presents a promising opportunity to improve healthcare outcomes and enhance customer engagement in the digital marketing landscape. By carefully addressing the ethical, regulatory, and technical challenges, AI can be harnessed to revolutionize healthcare and marketing practices, leading to better patient care, personalized customer experiences, and enhanced business outcomes.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr.B Lakshmi | NIPER Hyderabad |
| 2 | SaiKishore V | NIPER Hyderabad |
| 3 | Pratibha | NIPER Hyderabad |
| 4 | Sagar DLN | NIPER Hyderabad |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Lakshmi, Dr.B, V, SaiKishore, Pratibha, & DLN, Sagar (2024). Impact of AI in personalized marketing in pharmaceutical industry. International Journal of Advance Research and Innovative Ideas In Education, 10(1), 1654-1663.
MLA Style
Lakshmi, Dr.B, et al. "Impact of AI in personalized marketing in pharmaceutical industry." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 1, 2024, pp. 1654-1663.
IEEE Style
Dr.B Lakshmi, SaiKishore V, Pratibha, and Sagar DLN, "Impact of AI in personalized marketing in pharmaceutical industry," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 1, pp. 1654-1663, 2024.
Vancouver Style
Lakshmi Dr.B, V SaiKishore, Pratibha, DLN Sagar. Impact of AI in personalized marketing in pharmaceutical industry. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(1):1654-1663.
Harvard Style
Lakshmi, Dr.B, V, SaiKishore, Pratibha, & DLN, Sagar (2024) 'Impact of AI in personalized marketing in pharmaceutical industry', International Journal of Advance Research and Innovative Ideas In Education, 10(1), pp. 1654-1663.
Chicago Style
Lakshmi, Dr.B, et al. "Impact of AI in personalized marketing in pharmaceutical industry." International Journal of Advance Research and Innovative Ideas In Education 10, no. 1 (2024): 1654-1663.
Turabian Style
Lakshmi, Dr.B, et al. "Impact of AI in personalized marketing in pharmaceutical industry." International Journal of Advance Research and Innovative Ideas In Education 10, no. 1 (2024): 1654-1663.
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