Bridge’s Data Visualization tools are innovative solutions that allow you, our clients, to draw the greatest insight and value from complex datasets, whether these are based on clinical studies or on literature studies. Our tools come in two categories; firstly, visual databases which represent your data in a highly intuitive way, and secondly, disease models which take the underlying data and, together with agreed-on assumptions, help predict future states.
These tools provide a visual representation of your data (see examples below) and have a number of benefits:
Each visual database is bespoke, being co-designed with the client, and can be hosted securely by Bridge, or provided as a protected file.
We apply our data visualisation capabilities into our modelling practice, where we have delivered the following model types:
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.
Below are some examples of typical outputs from our visual databases and our models.
