Hexaware Technologies, a leading provider of IT services and solutions, and PointCross Life Sciences, a renowned data automation platform provider, have joined forces to introduce Clinical Data Automation as a Solution (CDAaaS). Powered by PointCross’ Xbiom™ platform, CDAaaS aims to revolutionize the clinical data lifecycle by automating data management, curation, and standardization.
CDAaaS leverages Xbiom™ to automate tasks such as data management, curation, and standardization, ensuring regulatory compliance with SDTM, ADaM, and TFLs. The solution incorporates features like metadata repositories (MDR), smart transformers for data curation, indexed repositories with AI augmentation, and onboard biostatistical tools.
CDAaaS provides real-time patient data streams from eCRF and biomarker data, enabling rapid data QC and assisting medical monitors in query resolution. By automating processes, CDAaaS reduces costs and time spent on data inconsistencies, relevant findings, exploratory analysis, and EDC and central lab queries.
Hexaware’s extensive reach coupled with PointCross’ widely used Xbiom™ technology offers a comprehensive solution for BioPharma and BioTech companies, as well as regulatory agencies. This collaboration addresses the critical need for cost reduction and expedited data submission processes in the clinical trials industry.
Srinivas Marimganti, Head of Life Sciences & Healthcare at Hexaware Technologies, expressed his enthusiasm for the partnership, stating, “CDAaaS combines Hexaware’s clinical solutions expertise with PointCross’ data automation platform, offering a ready-built solution to enhance data accuracy, compliance, and operational efficiency.”
Dr. Suresh Madhavan, CEO of PointCross Inc., highlighted the benefits of CDAaaS, emphasizing its ability to reduce costs and time associated with clinical trial data management while maintaining regulatory standards and integrating diverse data sources.
By leveraging automation and machine learning, CDAaaS is poised to significantly streamline clinical data management processes and drive faster, more reliable outcomes for the life sciences industry.
