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Leveraging Digital Transformation to Enhance Efficiency in Pharmaceutical Drug Launches

EasyChair Preprint no. 13667

19 pagesDate: June 15, 2024


The pharmaceutical industry is undergoing a significant transformation driven by the integration of digital technologies. This article explores how leveraging digital transformation can enhance the efficiency of drug launches. By implementing advanced digital tools and platforms, pharmaceutical companies can streamline processes, improve data accuracy, and foster better collaboration across various stages of drug development and commercialization. Key technologies such as artificial intelligence (AI), machine learning (ML), and blockchain are discussed, highlighting their roles in optimizing clinical trials, regulatory compliance, and supply chain management. The article also addresses the challenges and opportunities associated with digital adoption, emphasizing the need for strategic planning and investment in digital infrastructure. Ultimately, the digital transformation of drug launch processes can accelerate time-to-market, reduce costs, and improve patient outcomes, offering a competitive edge in the rapidly evolving pharmaceutical landscape.

Keyphrases: Artificial Intelligence in Compliance, Automation in Manufacturing, Blockchain for Traceability, clinical trials, Compliance Training Programs, Data Integrity, Digital Transformation, Good Distribution Practices (GDP), Good Manufacturing Practices (GMP), New Drug Introductions, pharmaceutical supply chain, Pharmacovigilance, Post-Approval Obligations, Quality Management Systems (QMS), Regulatory Compliance, risk management, Supplier Qualification, Supply Chain Security, Sustainable Practices in Pharmaceuticals, Technology in Pharmaceuticals

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Olawale Ajala},
  title = {Leveraging Digital Transformation to Enhance Efficiency in Pharmaceutical Drug Launches},
  howpublished = {EasyChair Preprint no. 13667},

  year = {EasyChair, 2024}}
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