In addition to the traditional benefits that are associated with the installation of structural health monitoring systems, reductions in construction, operational, and maintenance costs and improved performance and quality can be achieved by effectively using the acquired data. However, considered in isolation, the raw data is of little use and value. It needs to be processed and put into a geometric context within the infrastructure asset, which facilitates the interpretation and analysis of the data. This supports informed decision making that leads to effective actions. This study outlines a new approach that enables to model structural performance monitoring systems in a BIM environment and hence permits visualising sensor data directly on BIM models. The paper addresses aspects related to (i) interoperability and standard data models, (ii) management and visualisation of monitoring data, and (iii) data interpretation and analysis. A prestressed concrete bridge, with a comprehensive built-in structural performance monitoring system, has been used as a case study. The case study demonstrates that by including and visualising monitoring data directly on BIM models, the acquired data gains geometrical context within the built asset, which facilitates better interpretation, analysis, and all the data-sharing benefits associated with the BIM approach.