Towards semantic integration within an existing medical information system

Area of Science:

• Health Informatics
• Database Semantics
• Medical Data Integration

Background:

• Medical information systems face challenges in integrating diverse patient data.
• A consistent and coherent view of patient data is essential for end-users.
• Semantic integration is required to overcome these data integration hurdles.

Purpose of the Study:

• To propose a pragmatic, bottom-up approach for semantic integration in medical databases.
• To develop a method for transforming database elements into a user-understandable medical concept dictionary.
• To address the need for a coherent patient data view in healthcare systems.

Main Methods:

• A three-step process was employed: back-documentation from data catalogs, semantic extension to a data dictionary, and further extension to a medical concept dictionary.
• The process focuses on describing the semantics of database elements.
• Conceptual analysis and implementation of the data dictionary were performed.

Main Results:

• A method for semantic integration was developed, resulting in a medical concept dictionary.
• This dictionary provides a set of entities directly understandable by end-users.
• The implemented data dictionary facilitates a coherent view of patient information.

Conclusions:

• The proposed three-step process effectively achieves semantic integration in medical information systems.
• The resulting medical concept dictionary enhances data accessibility and usability for end-users.
• This approach contributes to overcoming challenges in medical data integration and presentation.