REDCap Cloud (nPhase) has introduced a new platform to unify real-world evidence with clinical study data within a single system.
The REDCap Cloud 2.0 platform is designed to meet the intricate data requirements of large-scale research and paves the way for the integration of AI, which is expected to transform research methods and analysis in life sciences.
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The company noted that real-world evidence and data, derived from various sources such as patient forms, electronic health records, and wearable devices, are increasingly influential in research.
However, this data often suffers from inconsistencies, quality issues, and comes in various formats.
Research teams are burdened with the task of rectifying errors, filling in missing details, and manually transferring data between different systems.
REDCap Cloud is said to address these issues, providing researchers with an instantaneous view of study performance.
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By GlobalDataThe platform has an open architecture, standardised data harmonisation, and security measures, and is designed to streamline workflows and reduce project timelines.
Its features include the elimination of data silos by merging case report forms with real-world evidence on a platform, which results in a consistent data layer for analysis.
Its automated data quality checks, anomaly identification, and issue triage systems enable the quick production of datasets ready for analysis, complete with auditable data lineage.
REDCap Cloud 2.0 is said to offer universal trial support, which allows the platform’s architecture to handle everything from small single-site pilot trials to complex multi-phase programmes and vast registries. This flexibility is maintained without the need to change tools during the trial.
The platform simplifies the process of implementing protocol amendments, allowing operations to continue without interruption or compliance risks, thereby decreasing the expenses and timeline issues associated with amendments.
With the addition of analytics capabilities built directly into REDCap Cloud, trial teams can now work from a singular, reliable data source. This integration is expected to speed up clinical development and improve collaboration among international research stakeholders.
REDCap Cloud COO Dave Sunderhaft said: “For the first time, sponsors can see how a study is performing clinically in near real-time, compressing the ‘white space’ between data collection and scientific review and enabling teams to accomplish in days what previously took months.
“REDCap Cloud 2.0 is not just an upgrade, it’s the platform our industry has been waiting for to unify all clinical data on a standards-based foundation, and proving it at enterprise scale.”
