Most of the Europe’s culture over the centuries relied on the monumental heritage and at first there has been a lack of concern in ensuring these structures withstand horizontal forces caused by earthquakes. With the increased awareness of the damage that these events may cause to existing structures, in the field of engineering, it has been crucially important the improvement of Structural Heath Monitoring (SHM). To identify the characteristics of a structure, engineers build models of the structures that approximate, as closely as possible, the real behaviour of the buildings. These models sometimes need to be updated based on experimental data to better represent the conditions in which the buildings are found, and to improve the decision-making process, leading to the creation of a model that faithfully recreates the behaviour of the structure (Digital Twin). In this regard, Building Information Modeling (BIM) plays a fundamental role in storing all the useful information, within which the required data can be investigated. This work proposes a methodology to update finite element models (FEM) representing existing structures using Python scripts executed directly from Revit interacting with the structure. This model updating methodology makes it possible to update the model based on information derived from ambient vibration tests, such as experimental frequencies and mode shapes and sensor positions, to have an update of the structural parameters directly driven by the graphical interface of a BIM software, in which the necessary information will be stored.