Workplace safety is a major concern in the construction industry due to high accidents and fatality rates. In response, the integration of Building Information Modeling (BIM) and Internet of Things (IoT) has emerged as a promising approach to enhance safety management through real-time hazard detection and improved decision-making. While research has extensively explored the applications and benefits of BIM-IoT integration, limited attention has been given to the challenges encountered post-implementation. This study aims to bridge this gap by identifying and analyzing the key post-implementation challenges of BIM-IoT integration in construction safety management. Through a comprehensive Systematic Literature Review (SLR), the findings highlight four major categories of challenges including technical (e.g., data interoperability, cybersecurity risks, sensor reliability), operational (e.g., high operational costs, data overload), organizational (e.g., resistance to change, skill gaps, privacy concerns), and regulatory (e.g., lack of standardized frameworks, unclear data ownership policies). Addressing these challenges requires collaborative efforts from industry stakeholders, technology developers, and policymakers to establish standardized frameworks, enhance cybersecurity, and develop cost-effective implementation strategies. Future research should focus on BIM-IoT interoperability, security, and adoption while exploring AI, blockchain, and human-computer interaction for improved safety.