Clinical Trial Analysis
Untapped Knowledge for Clinical Trial Analysis
Clinical trials are critical to determining the safety and effectiveness of medicine and treatment regimes, but these trials are challenged by the cost of identifying suitable recruits and the limited scope of primary data in research. Increasingly, administrative data and other secondary-use patient data repositories are used to improve recruitment and longitudinal observations. Yet the scale of this clinical data overwhelms existing platforms and prevents interactivity and new insights in clinical research data analysis.
Unparalleled Medical Research Study Insights
OmniSci accelerates SQL queries to provide interactivity for big data medical research at unprecedented scale. This enables medical researchers to analyze the entirety of primary and secondary-use patient data records for unparalleled epidemiological and clinical data insights that drive quality recruitment and data analysis in medical research settings. Through interactive filtering and visualization, medical researchers can dig into the variables affecting clinical trials for ad hoc cohort exploration and refinement, all with millisecond latency. OmniSci helps researchers discover insights beyond their legacy medical data analysis software while simplifying clinical data management.
Transforming Clinical Data Management
OmniSci allows the pharmaceutical industry to visualize, cross-filter, and interact with its data in real-time for a new era of big data pharmaceutical data analysis. Now analysts can uncover hidden patterns and cryptic correlations between biological information, risks for disease, and effectiveness of pharmaceuticals across the broad array of combined factors. This enables a wealth of new use cases, such as rapidly slicing through genomics data to identify new life-saving treatments, monitoring real-time IoT data as it streams from every step of the drug manufacturing process, and selecting patient cohorts with the traits necessary for a successful clinical trials.