Data-Driven Excellence: Integrating Analytics into Medical Technology Product Lifecycle Management

Sagar, Sabbani (2025) Data-Driven Excellence: Integrating Analytics into Medical Technology Product Lifecycle Management. International Journal of Trend in Scientific Research and Development, 9 (1). pp. 127-136. ISSN 2456-6470

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Abstract

Data analytics has revolutionized Product Lifecycle Management (PLM) in the medical technology industry by enabling data-driven decision-making, enhancing regulatory compliance, and optimizing manufacturing processes. This paper explores the transformative impact of analytics across PLM stages, including ideation, design, manufacturing, and post-market surveillance. Key challenges, such as fragmented data, cybersecurity concerns, and integration complexities, are analyzed alongside innovative solutions like AI-driven threat detection, blockchain for secure data management, and predictive maintenance. Emerging trends such as adaptive manufacturing and digital twins highlight the evolving role of advanced technologies in improving product efficiency and patient safety. Additionally, the integration of regulatory compliance frameworks like HIPAA and GDPR ensures ethical data handling while maintaining operational excellence. This study underscores the critical importance of analytics in fostering innovation, reducing costs, and enhancing trust in medical technologies, offering a roadmap for future advancements in this rapidly evolving domain.

Item Type:	Article
Subjects:	R Medicine > R Medicine (General)
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	10 Jan 2025 04:57
Last Modified:	10 Jan 2025 04:57
URI:	http://eprints.umsida.ac.id/id/eprint/15148

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