A Biblio metrics review on operational management tools and methodologies from industry 1.0 to industry 5.0 to improve patient-centric clinical trials

Abstract This bibliometric review investigates the evolution of operational management tools and methodologies employed in clinical trials, tracing their development across the eras of industrial revolution from Industry 1.0 to Industry 5.0. The review analyzes the impact of technological advancements and digitalization on patient-centricity within clinical trial operations. The study utilizes a comprehensive database of published research, focusing on key themes such as data management, process automation, artificial intelligence, and remote monitoring. The findings reveal a significant shift towards patient-centric approaches in clinical trial design and execution, driven by the adoption of Industry 5.0 technologies. The review highlights the use of advanced analytics, predictive modeling, and real-time data monitoring to enhance trial efficiency and improve patient experiences. Furthermore, the analysis explores the ethical implications of utilizing these technologies and emphasizes the need for robust frameworks to ensure data privacy and security. This review contributes to the existing literature by providing a comprehensive overview of the evolving landscape of operational management in clinical trials, identifying key trends and future research directions. The review identifies key trends, challenges, and future directions for operational management in clinical trials, with a particular focus on the role of Industry 5.0 in fostering patient empowerment and collaboration in the research process. This research provides valuable insights for stakeholders involved in clinical trial design, execution, and analysis, including pharmaceutical companies, research institutions, and regulatory bodies in advancing patient-centricity within the clinical trial ecosystem