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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

Abstract excerpt

<h4>Background</h4> Electronic 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. <h4>Methods</h4> We developed a Neo4j-based framework integrating MIM...

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Literature Corpus work
f85aabbb-463d-57b3-8f8a-d7d18e86db87
DOI
10.1101/2025.07.20.25322556
Open publication

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A Neo4j-Based Framework for Integrating Clinical Data with Medical Ontologies: Performance Optimization and Quality Measure Applications in HealthcareDOI 10.1101/2025.07.20.25322556
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