AI in Clinical Data Management: Transforming the Future of Healthcare

Author(s)	RUPA YASMIN, Arunima Baur, Tulika Maji, Subhas Halder
Country	India
Abstract	Clinical Data Management (CDM) is a pivotal component of modern healthcare and clinical research, ensuring the accurate collection, integration, and validation of patient data. With the increasing volume and complexity of clinical data, Artificial Intelligence (AI) has emerged as a transformative force, automating data capture, ensuring data quality, and enabling predictive analytics. This paper explores the application of AI in CDM, providing a comprehensive review of current methodologies, tools, and their implications on clinical trials and patient care. It highlights AI's role in enhancing data accuracy, reducing trial timelines, and improving decision-making, while addressing ethical and regulatory challenges. Through a systematic literature review and analysis of case studies, the study concludes that integrating AI into CDM systems offers substantial benefits, although it requires careful implementation and oversight.
Keywords	Artificial Intelligence, Clinical Data Management, Electronic Health Records, Machine Learning, Clinical Trials, Data Quality, Predictive Analytics, Natural Language Processing, Healthcare Informatics, Data Validation
Field	Medical / Pharmacy
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-12
DOI	https://doi.org/10.71097/IJSAT.v16.i2.6191
Short DOI	https://doi.org/g9qqv8

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