SDA-FEF: Ontology-Driven EHR Front-End Framework for Patient-Centered Care

A conceptual framework for semantic healthcare data integration, authored by Radha Ambalavanan and last updated in March 2026. The framework outlines a six-layer architecture aligned with HL7 FHIR, SNOMED CT, and LOINC standards, designed to support patient-centered care.

Use Cases

• Designing modular front-end architectures for semantic interoperability based on the described six-layer model.
• Integrating patient-reported, clinical, and genomic data using ontology-driven approaches mentioned in the description.
• Ensuring compliance with GDPR and HIPAA regulations based on the framework's Security and Compliance layer.
• Enhancing EHR usability and patient engagement through the User Experience layer concepts.

Strengths

• Framework is explicitly aligned with established standards HL7 FHIR, SNOMED CT, and LOINC.
• Architecture comprises six detailed layers: User Experience, Security and Compliance, Data Management, Interoperability and Integration, Advanced Analytics, and Support and Scalability.
• Dataset is licensed under CC-BY-4.0, allowing for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data appears to be a conceptual framework rather than operational data.

Provenance

Source

figshare

Collection Method

Developed through a reproducible synthesis-to-design process based on a previously published systematic review.

Freshness

Last updated 2026-03-19 06:49:46; freshness should be verified.