Year: 2025
Type: article
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.
Authors: RUPA YASMIN -, Arunima Baur -, Tulika Maji -, Subhas Halder -
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4411463641