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A Neo4j-Based Framework for Integrating Clinical Data with Medical Ontologies: Performance Optimization and Quality Measure Applications in Healthcare

2025-07-21 health informatics Title + abstract only
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BackgroundElectronic Health Records face a fundamental challenge: the semantic gap between relational data storage and clinical reasoning patterns. Traditional databases struggle with complex healthcare queries requiring multiple joins and temporal analysis, creating performance bottlenecks that limit real-time clinical applications. MethodsWe developed a Neo4j-based framework integrating MIMIC-IV clinical data (1,504 patients, 4,967 admissions) with SNOMED CT medical ontology through ICD-10-CM...

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