Data Dashboards

Data Dashboards provide a visual perspective over large volumes of FHIR data without any special ETL tools, expensive database, and reporting infrastructure. When you visualize thousands of related items at once, you can see trends and patterns that would otherwise not be apparent when you look at one item at a time. The Visualizer dashboards display full, high-resolution, highly customizable graphical charts with short load times, while the animations and natural transitions provide context and prevent you from being overwhelmed by large quantities of information. As an analyst, there are several business reasons to visualize your data in this way. For example, you can analyze data to detect abnormal activity with claim amounts. To do this, you can gather all the claims made on a particular day or coming in from a certain provider to confirm the claim amounts are legitimate. You can also analyze patients' observations, hospital visits over a month or more to determine a pattern, if one exists.

XES Module for FHIR uses Edifecs Visualizer Server to aggregate data and highlight the required information in the form of dashboards. Visualizer Server uses Kibana that is an open source analytics and search dashboard that functions using Elasticsearch. With Data Dashboards, you can combine multiple visualizations on a single page and filter them using your custom criteria. For more information, see Visualizer Server documentation.

To visualize FHIR data through the XES Module for FHIR web portal, you must first install SpecBuilder including Visualizer Server.

The XEServer profile “visualizes”/reads and displays FHIR data. When you click Load FHIR Data on the Visualizer page of the XES Module for FHIR web portal, the XEServer profile does the following:

  • Receives a trigger that gathers Patient IDs of all the patients using the REST client.
  • Using the corresponding Patient ID, gathers information about each patient and all the related observations that have one of the following LOINC codes: 13457-7 and 4548-4 and creates a bundle that is then mapped to the DFF file.
  • Uploads the DFF file to Visualizer Server using the Visualizer Reporter component.

The following information is available on the Visualizer dashboard on the Visualizer page of the XES Module for FHIR web portal:

  • The total number of patients.
  • A bar chart that displays the age distribution of patients.
  • A bar chart that displays the top 15 states of patients' residences.
  • A bar chart that displays the top 15 postal codes of patients' residences.
  • A pie and bar chart that displays the patients' cholesterol levels (the percentage and quantity ratio).
  • A pie and bar chart that displays the patients' hemoglobin levels (the percentage and quantity ratio).

To remove the data from the XES Module for FHIR web portal, click Purge Data Store.