# BIM-GIS-Based Approach for Quality Management Aligned with ISO 9001
## 6 Discussion
Another promising direction is the integration of blockchain technology. Blockchain could improve inspection data reliability, transparency, and auditability by ensuring immutable records of events, approvals, and corrective actions. This would reinforce trust in digital quality systems and could be explored in future implementations. Table 3 synthesizes the discussed implementation status and research outlook by providing a comparative overview of the current functionalities and the planned enhancements. This summary reinforces the system's relevance and points to key areas for future development and scalability. The proposed enhancements can be prioritized based on feasibility and expected impact to provide a more precise roadmap for future development. In the short term, priority will be given to automating GIS-BIM data synchronization and supporting elevation data integration to address current workflow limitations. Medium-term efforts will focus on incorporating automated data validation, enabling user feedback mechanisms, extending compatibility to open formats such as IFC, and establishing performance metrics for quantitative evaluation. In the long term, the integration of advanced technologies such as artificial intelligence (AI)-based anomaly detection, blockchain for immutable records, and hierarchical model structures for complex vertical elements will be explored. This prioritization supports a progressive and scalable system evolution while aligning with ISO 9001:2015 and CPS principles. Overall, this roadmap aligns with the digital transformation goals in construction quality management and supports the integration of future innovations, such as AI-based analysis, 3D spatial processing, and open-format interoperability. \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Component** & **Implemented Functionality** & **Planned Enhancements** \\ \hline Data collection & Georeferenced inspection forms with structured attributes via QGIS/QField & Automated input validation and error checking in mobile forms \\ \hline Data integration & Manual export of XLSX file and semi-automated import into BIM using Dynamo & Full automation of data synchronization between GIS and BIM environments \\ \hline Visualization and traceability & Parameter visualization and inspection tracking in Revit & Use of 3D GIS tools and Z-coordinate integration for multi-level buildings \\ \hline Interoperability & Revit and Dynamo-based environment & Expansion to IFC-compatible platforms and open standards \\ \hline Performance assessment & Functional validation in a small-scale case study & Quantitative evaluation: time reduction, error rates, and scalability \\ \hline Model update cycle & Cube regeneration and data replacement routine in BIM & Support for differentiated vertical elements and spatial hierarchy \\ \hline Record permanence & Cloud-based inspection data storage with manual oversight & Integration of blockchain for immutable quality records \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Overview of implemented and planned functionalities in the proposed quality management system.