https://iaeme.com/Home/journal/IJRCAIT 2140 editor@iaeme.com International Journal of Research In Computer Applications and Information Technology (IJRCAIT) Volume 7, Issue 2, Jul-Dec 2024, pp. 2140-2149, Article ID: IJRCAIT_07_02_153 Available online at https://iaeme.com/Home/issue/IJRCAIT?Volume=7&Issue=2 ISSN Print: 2348-0009; ISSN Online: 2347-5099; Journal ID: 0497-2547 Impact Factor (2024): 14.56 (Based on Google Scholar Citation) DOI: https://doi.org/10.5281/zenodo.14348930 © IAEME Publication AI-DRIVEN DATA INTEGRATIONS AND AUTOMATIONS FOR CLINICAL RESEARCH OPERATIONS (CRO) Mahaboob Subhani Shaik SAIPSIT, Inc., USA 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.