To process crucial clinical trial data more efficiently, we developed a solution using the Accenture INTIENT Clinical product suite. The solution brings a cloud-native, insight-driven approach that enables companies to manage internal and external clinical trial data. It also automates the output of clinical trial databases and simplifies the processes to transform data into the formats required for regulatory submission. The scalable solution centralizes data ingestion, aggregation, cleaning and transformation to help teams analyze clinical, patient and scientific data. For instance, all contract research organizations and other third parties can upload data directly into the centralized system so everything is available in one place.
Call for change
Proof of concept that challenged efficiency. The positive results of improving clinical data management in an expanding pipeline of drugs.
When tech meets human ingenuity
The study data tabulation model (SDTM) engine, powered by INTIENT Clinical, converted raw clinical trial data into a standardized format that regulatory authorities like the US Food and Drug Administration (FDA) can review consistently.
Automated processes and a 50% decrease in trial data conversion efforts mean patients get access to life-saving medicines sooner than previously possible to help improve patient outcomes.
The proof of concept successfully performed SDTM conversion, showing that up to 90% of the SDTM processes could be automated and the conversion process effort halved.
The proof of concept showed excellent results. In both cases, it detected data anomalies early to make all SDTM conversions correct and compliant first-time, a 100% increase.
A valuable difference
The SDTM conversion pooled the company’s data from its clinical data collection tool, as well as sources from three external vendors.
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