Efficient storage of healthcare data in XML-based smart cards

Area of Science:

• Computer Science
• Health Informatics
• Data Management

Background:

• Healthcare data is increasingly stored in XML format on smart cards.
• Efficient querying of this data is crucial for healthcare applications.
• Smart card constraints necessitate specialized storage solutions.

Purpose of the Study:

• To design and present novel storage structures for efficient XML path query processing.
• To consider healthcare data properties and common query types in the design.
• To address the limitations of smart card storage.

Main Methods:

• Development of specialized storage structures tailored for healthcare XML data.
• Incorporation of healthcare data characteristics and query patterns into the design.
• Evaluation of storage structures based on space and time efficiency.

Main Results:

• The proposed storage structures demonstrate efficient processing of XML path queries.
• The design effectively balances storage space and query execution time.
• Performance is validated across various query types.

Conclusions:

• The presented storage structures offer an effective solution for managing and querying healthcare data on smart cards.
• This approach enhances the usability of smart cards for secure and efficient health information access.
• Further research can explore scalability and advanced query functionalities.