Business Intelligence in Radiation Oncology: About Potential and Limits

Area of Science:

• Medical Informatics
• Oncology Information Systems
• Data Management

Background:

• Business intelligence (BI) solutions are increasingly integrated into radiation oncology information systems (ROIS).
• These systems facilitate structured data extraction for diverse clinical and research applications.
• Customizations for specific use cases often necessitate IT expertise.

Purpose of the Study:

• To summarize the experience of implementing a BI module within a radiation oncology department.
• To identify and discuss key challenges encountered during the implementation process.
• To provide recommendations for overcoming these challenges.

Main Methods:

• Implementation of a BI module within an existing ROIS.
• Collaboration with hospital data warehouse (DWH) and IT architecture teams.
• Adherence to good clinical practices (GCP) for secondary data use.

Main Results:

• Successful integration of BI capabilities into ROIS.
• Demonstrated value of structured data extraction for research and operational use cases.
• Highlighting the importance of IT expert involvement for effective data utilization.

Conclusions:

• The integration of BI modules in ROIS is feasible and beneficial.
• Close collaboration between clinical teams and IT experts is essential for success.
• Addressing implementation challenges proactively ensures optimal secondary data use in radiation oncology.