Data Visualization

Visual databases

These tools provide a visual representation of your data (see examples below) and have a number of benefits:

  • They allow you to access, query, and interact with quantitative data - whether from clinical studies, literature reviews or database landscaping - in an intuitive way.
  • Being dynamic, graphics in a visual database are designed to respond to adjustments to a range of parameters.
  • Visual databases are easy to update as new data become available.
  • They can benefit cross-functional/affiliate colleagues who may not have time to read a detailed study report, but need to understand the data.
  • They can be based on any data source, whether generated by Bridge, by you or a third party.

Each visual database is bespoke, being co-designed with the client, and can be hosted securely by Bridge, or provided as a protected file.

Disease Models

We apply our data visualisation capabilities into our modelling practice, where we have delivered the following model types:

  • Epidemiological models
  • Patient flow models
  • Treatment pattern models
  • Early economic models
  • Clinical progression & Value models

While our visual databases represent an underlying dataset such as it is, our models go a step further. Here we pull together multiple datasets to provide a picture of current and future real-world practice and outcomes, based on a set of transparent assumptions. While our models default to best-quality assumptions in their core settings, clients can change those assumptions through built-in controls, allowing them to test the impact of such changes on key outcomes of interest. In short, our visual databases make it easier to understand the evidence base, while our models are designed to transform decision-making.