A prototype ETL pipeline that uses HL7 FHIR RDF resources when deploying pure functions to enrich knowledge graph patient data

Knowledge graph technology can be augmented with standards-based semantic data processing pipelines for deploying and tracing the use of pure functions to derive new patient-level features from existing data. Semantic data processing pipelines enable research enterprises to report on new patient-level computations of interest with linked metadata that details the origin and background of every new computation.

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Publication Details

Journal
Journal of Biomedical Semantics
Published
2025-08-31
DOI
https://doi.org/10.1186/s13326-025-00335-4
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

A prototype ETL pipeline that uses HL7 FHIR RDF resources when deploying pure functions to enrich knowledge graph patient data

Marisa Conte, Allen Flynn, Anusha Ansari, A. M. Paturkar
Journal of Biomedical Semantics
Biomedical Text Mining and Ontologies
article

A prototype ETL pipeline that uses HL7 FHIR RDF resources when deploying pure functions to enrich knowledge graph patient data

Marisa Conte, Allen Flynn, Anusha Ansari, A. M. Paturkar
article en

Abstract

Knowledge graph technology can be augmented with standards-based semantic data processing pipelines for deploying and tracing the use of pure functions to derive new patient-level features from existing data. Semantic data processing pipelines enable research enterprises to report on new patient-level computations of interest with linked metadata that details the origin and background of every new computation.

Journal of Biomedical SemanticsVol. 16(1)
Centre for Addiction and Mental Health (CA), University of Michigan (US)
Openalex Percentile: Top 80%
Biomedical Text Mining and Ontologies
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