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VAHub ACUITY (Visual Analytics Hub for Clinical Trials)

Kantemir Tvorogov edited this page Aug 9, 2023 · 1 revision

VA Hub ACUITY is a component of the ACUITY system that provides a rich set of data-driven interactive visualizations. It serves as a hub for early data exploration and hypothesis generation, facilitating timely and effective decision-making for clinical trials. VA Hub ACUITY offers nearly real-time access to emerging data, enabling all members of the research team to gain valuable insights and contribute to the research process. Clinicians, Data Managers, Translational Scientists, Data Scientists, Toxicologists, and any study personnel involved in clinical trials can benefit from the capabilities of VA Hub ACUITY.

VAHub

Visualizations of Data

VA Hub ACUITY presents a variety of visualizations, such as box plots, line plots, and bar charts, among others. These visualizations offer a graphical representation of the data, allowing users to identify patterns, trends, and outliers easily. The visualizations provide a comprehensive overview of the data, facilitating data exploration and hypothesis generation.

Exporting of Visualizations

Users can export the visualizations generated by VA Hub ACUITY. This feature enables researchers to save and share the visualizations in various formats, such as images or PDFs, for further analysis, collaboration, or reporting purposes.

Selection and Details of Data

VA Hub ACUITY enables users to select data points on the visualizations. Upon selection, the system populates the details of the selected data in a separate details table. This table provides comprehensive information regarding the selected data, including all relevant details associated with the patients or events, allowing for a deeper understanding and analysis of the selected data points.

Population Filters

VA Hub ACUITY allows users to apply population filters to the data displayed on the plots. These filters enable users to subset the data based on specific patient characteristics, such as race, sex, age, medical history, drug dosage, and more. By filtering the data, researchers can focus on specific patient populations and conduct targeted analyses.

Data-Specific Filters

In addition to population filters, VA Hub ACUITY supports data-specific filters. Users can apply filters to the events based on event information, such as measurement name, date, value, and other relevant parameters. These filters allow researchers to refine their analyses and explore specific subsets of data based on the events of interest.

Linked Visualization

VA Hub ACUITY incorporates linked visualizations, which means that the different visualizations within the system are interconnected. For example, if researchers identify patients with particular adverse events, they can seamlessly transition to investigating laboratory analysis or vitals for those identified patients. This linkage between visualizations enables a comprehensive and holistic exploration of the data, connecting relevant aspects and facilitating further investigations.

Drill-Down to Patient Level

VA Hub ACUITY supports drill-down capabilities, enabling users to review detailed information at the patient level. Researchers can access and examine comprehensive data for individual patients, including demographics, medical history, treatment details, and other relevant information. This patient-level review allows for in-depth analysis and better understanding of specific cases.

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