The Visualize panel is a powerful tool to create and interact with informative visual graphics. With a wide variety of chart types, users can generate trends and interact with graphics enhance data interpretation.

Here are some examples of questions you can answer using visualizations:

These are just a few examples as the possibilities for data exploration using Visualizations are extensive. The tool empowers users to create customized visuals that enable deeper insights and facilitate data-driven decision-making in clinical trial monitoring and analytics.

Generating a Visualization takes just a few clicks, and results arrive in seconds. Let's build a simple Visualization together, imagine you want to answer the following question:

Events are the basic building block of any Visualization. Start by choosing the relevant event that form the foundation of your analysis. In this case, we want to know about reported Adverse Events, so navigate to the "Events" section and choose "Adverse Event". Your query should now include the selected event. At this point, your query should look like this:

Next, determine how you want to analyze the selected event. To provide meaningful insights Rivia offers various approaches to consider Events. By default, Rivia will display the total Event Counts, capturing counts of every occurrence for the selected Event. However, there are more complex forms of counting across Categorical and Numerical Events. Hover over each one to see definitions.

There are two menus to select Numerical Counts, the Count Type (e.g. Average) and whether this should be presented as the result itself or compared against baseline (Change Absolute, Change Percentage):

Filters exclude unwanted data and can select specific subsets of data to highlight trends or anomalies. To add a filter to your Panel, simply click on Filters +. In this case, we don't add a filter to keep all reported adverse events.

Segments split Events into groups. Click on Segments +, to create a new segment. By default, the table is initially divided based on the Patient ID of the patients. In this case we will not add a Segment.

Choosing the right visualization helps effectively represent your data. Rivia provides various chart types tailored for clinical trial analyses. Consider using Bar plots to visualize the frequency of adverse events across segments (e.g. Sex) and line charts to observe trends over time. Select the appropriate visualization that best suits your analysis goals.

Under "Output", click on the visualization name to open the menu & select the most relevant graphical representation. At this point, your query should look like this:

With the Visualization generated, you now have a comprehensive analysis that can be further explored or shared. You can add the visualization to a Dashboard to track key insights and make informed decisions. Depending on the findings, you may consider applying additional filters, introducing different Segments, or comparing metrics to uncover valuable correlations.
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Interact with graphics by hovering over and clicking events. This will open up Event and Patient properties on the right hand side:

By following these steps in the Rivia platform, you can leverage its clinical trial-specific features to gain actionable insights and enhance your decision-making process.

Rivia's Visualization features includes multiple visual graphics to help you view the query results in the clearest chart type. By default, Visualization displays the results on the Bar plot, which helps you understand aggregated metrics. However, another chart type might present the results with more clarity.

Create specific patient groups with Rivia's Cohort builder to derive in-depth insights from your data. Cohorts enables to define characteristics before creating event based visuals and tables.

Add Cohorts and Event filters directly to your Dashboards and see their effect on all the panels simultaneously. This makes it easy to test the impact of changing a cohort or adding filters on multiple visualizations at once.