Intelligent Document Processing and Regulatory Pathway Mapping: AI-Enhanced Compliance Automation in Pharmaceutical Submissions

Authors

  • Joseph Msabila Associate Professor of Information Systems, University of Nairobi

Keywords:

intelligent document processing, regulatory pathway mapping, ai-enhanced compliance automation, pharmaceutical submissions, machine learning

Abstract

In light of global health and safety standards, the pharmaceutical sector is a highly regulated industry. Compliance with these regulatory bodies should be the primary concern because the pharmaceutical product of a company not meeting these safety and regulatory standards may not be prescribed to the public.

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Published

31-12-2024

How to Cite

[1]
“Intelligent Document Processing and Regulatory Pathway Mapping: AI-Enhanced Compliance Automation in Pharmaceutical Submissions”, Blockchain Tech. & Distributed Sys., vol. 4, no. 2, pp. 10–17, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/849