Year: 2024
Type: article
Abstract: The complexity of modern clinical research operations (CRO) necessitates advanced solutions for managing vast datasets, streamlining workflows, and ensuring compliance with stringent regulatory requirements. AI-driven data integration and automation technologies have emerged as key enablers of efficiency and accuracy in CRO, facilitating real-time data synchronization, workflow automation, and predictive analytics. This comprehensive article examines the current challenges in clinical research operations, explores AI-driven solutions for data integration, evaluates automation technologies, and assesses the benefits of AI integration in CRO. The article also discusses critical implementation considerations, including technical infrastructure requirements and change management strategies, while highlighting how AI technologies transform traditional clinical research processes through improved operational efficiency, enhanced data quality, and streamlined regulatory compliance
Author: Researcher
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949158709
FWCI:
Cites:
Cited by:
Related to: