Building Information Modeling (BIM) has become a well-established concept within the architecture, engineering, construction, and facility management (AECFM) sector of developed countries. The gradually expanding and continuously evolving technological capabilities open up new opportunities and areas in the field of BIM. Due to their complexity, diagnostic examinations have long been conducted through on-site visual inspections or destructive and non-destructive testing in la-boratory conditions. However, technological advancements and the possibilities offered by digital mapping have enabled high-precision on-site measurements and software-based analyses using various algorithms. This study focuses on the current state and possibilities of BIM-based structural diagnostic methodologies. It examines case studies where structural condition assessments and monitoring workflows are carried out within a BIM-based building information system. The study extensively presents and categorizes innovative technological possibilities and methodologies that enable the automation of structural damage detection through BIM methodology. The developed methodologies accelerate workflows, provide accurate digital representations of affected areas and facilitate ongoing damage monitoring within a centralized BIM model. A comparative analysis of diagnostic methods is conducted based on a defined set of criteria, followed by an evaluation of the most effective methodologies and technologies. The conclusions highlight development directions to further improve the efficiency of BIM-based structural diagnostics methodologies and to integrate artificial intelligence capabilities into the field of BIM diagnostics.