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Dr. Ashish Indani
Head-Research & Innovation, TCS ADD Platforms
Sharad Sharma
Domain Consultant-Clinical Data Management, Life Sciences & Healthcare
Shivaji Bote
Domain Consultant-Clinical Data Management, Life Sciences
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The objective nature and confirmatory value of non-CRF data make it an essential source of information in any clinical study. However, the non-CRF data transfer process lacks parameter-based metrics critical to determining its efficacy and efficiency. In addition, there are several complexities in the data transfer process due to the absence of standard procedures and industry-wide conventions, coupled with the failure of non-CRF data to add to the quality and completion issues. Through this article, industry experts from TCS ADD Platforms highlight a few key approaches to iron out these inefficiencies including standardization of DTAs to a protocol, automation of data transfers and metric-based monitoring of incoming data. This article reimagines the entire data transfer process and highlights how technology would prove to be instrumental in unlocking pathbreaking capabilities.
Automating Third Party Data Transfer Through Digitized Electronic DTA
TCS ADD™ Risk-Based Quality Management Platform
Reimagining Reporting and Visualization During CDM
Role of Predictive Model in Operation Risk and Workload Management