Clinical trial data is complex and needs a robust end-to-end platform that can streamline data collection, integration, analysis, and visualization. In today’s clinical research ecosystem, how a research group manages data is crucial in deciding the success of a clinical study.
Elucidata offers comprehensive solutions for managing and analyzing clinical trial data with its proprietary platform Polly, by combining its state-of-the-art technology and human-in-the-loop approach.
Modern Clinical Trial Challenges
With the advancement in sequencing technology, clinical trials generate vast amounts of data across multiple phases, making their management a daunting task. As a result, clinical trial teams of biopharma and biomedical companies face challenges of slow research, inflated costs, and inaccuracy of findings.
Data Complexity
Clinical trials involve diverse data types, including patient demographics, lab results, genomic data, and real-world evidence. These datasets are often siloed, originating from various sources like EHRs, wearable devices, and imaging systems. The sheer volume and heterogeneity of data make it difficult to aggregate, standardize, and analyze efficiently. To take an example, a single trial might involve thousands of patients, each generating longitudinal data over the years, creating a massive data management burden.
Integration Issues
Data integration is one of the most significant challenges in clinical trial workflows. When datasets from different systems are merged, it often results in inconsistencies, redundancies, and errors, which require extensive manual intervention. The use of outdated systems further complicates the integration process due to a lack of interoperability, which leads to fragmented workflows and delays in insight generation.
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