Defining a Standardized Information Model for Multi-Source Representation of Breast Cancer Data

Area of Science:

• Oncology
• Health Informatics
• Data Standardization

Background:

• Effective breast cancer management requires integrated data from diverse sources.
• Current data representation lacks standardization, hindering comprehensive analysis.
• Hospital Universitario 12 de Octubre sought to improve its breast cancer data handling.

Purpose of the Study:

• To establish a standardized information model for breast cancer data.
• To represent multiple data sources within a unified framework.
• To adapt existing standards for specific clinical needs.

Main Methods:

• Identified essential data elements based on the ICHOM Breast Cancer minimum dataset.
• Adapted the dataset to meet the specific requirements of Hospital Universitario 12 de Octubre.
• Defined the information model adhering to ISO 13606 and SNOMED CT standards.

Main Results:

• A standardized information model for breast cancer data has been successfully defined.
• The model facilitates the integration of multiple data sources.
• Compliance with ISO 13606 and SNOMED CT ensures interoperability and semantic consistency.

Conclusions:

• The developed information model provides a standardized approach to breast cancer data representation.
• This standardization enhances data integration and supports better clinical decision-making.
• The model serves as a foundation for future advancements in breast cancer informatics.