Creating a Single Source of Truth to Improve Analysis and Outcomes
Going from High-level Analysis to Detail with Ease
Jvion is a clinical intelligence company focused on bringing a 360-degree view of the socioeconomic factors surrounding patients where they live. This information empowers clinicians and public health officials to focus on improving patients’ health by addressing factors such as healthy food access, access to transportation, number of primary care providers available, among others.
Jvion needed a “single pane of glass” Tableau dashboard to allow users to quickly look through census block groups on a map in order to identify outliers with risk scores outside the norm for their respective state and county. Once users locate outliers, they need to be able to drill down into that census block group and see a full scorecard containing all the headline data points available. Users also need the ability to flex the map by any available metric, to support the use case of identifying outliers based on a specific KPI other than the risk score.
Three Tableau dashboards were built to support the flow outlined in the user requirements. The first dashboard was dominated by two elements:
- The map
- A single-select combo box containing the KPIs to flex the map by
Users could also set KPI ranges to populate block groups that met their threshold for ‘outlier’. Once outliers were identified, Tableau actions allowed the user to navigate to the second dashboard to view a scorecard-style view, presenting the complete set of social determinant KPIs on the block group selected in the previous view. The final dashboard was a tabular view for the selected block group, giving users a quick method to export numbers to share. The 3-tab approach enabled users to easily go from a high level to a detailed level relatively quickly.
By analyzing the map to identify census block groups meeting user-defined criteria quickly, scorecards could be easily viewed on the selected blocks to drive decision-making and inform clinicians on socioeconomic barriers faced by their patient population.