Abstract

As the pharmaceutical manufacturing industry embraces digital transformation, innovative technologies are being adopted to improve risk management and regulatory compliance. The present study investigates the application of artificial intelligence, machine learning, the Internet of Things, and advanced data analytics in this sector. Integrating these technologies is essential for tackling product quality, patient safety, and operational efficiency challenges. Although the potential benefits are significant, there is a scarcity of comprehensive studies on the implementation and impact of digital technologies, specifically in the context of risk management and regulatory compliance within pharmaceutical manufacturing. The current study aims to address this gap by exploring how digital technologies can be utilized to enable real-time monitoring, predictive maintenance, proactive quality control, and streamlined regulatory compliance processes. Through a systematic literature review and analysis of case studies, best practices, challenges, and strategies for successful digital transformation in the pharmaceutical manufacturing industry are examined. The results emphasize the remarkable potential of digital technologies to enhance risk management, ensure regulatory compliance, and drive operational excellence. The central message conveyed is that embracing digital transformation is crucial for pharmaceutical companies to maintain competitiveness, mitigate risks, and deliver high-quality, safe medicines to patients. Furthermore, the necessity for collaboration between industry stakeholders and regulators to promote innovation while upholding rigorous quality and safety standards is highlighted.

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