Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping
Fouzia Amar1, Alain April1, Alain Abran1
1École de technologie supérieure - ETS, Montreal, QC, Canada.
Journal of Medical Internet Research
|January 30, 2024
Summary
This study reviews 70 papers on Fast Healthcare Interoperability Resources (FHIR) semantic interoperability, classifying approaches like mapping, ML/NLP, and ontologies. Findings highlight the need for better tools and services to improve healthcare data exchange and interpretation.
Area of Science:
- Health Informatics
- Computer Science
Background:
- Interoperability issues in electronic health records (EHRs) and IoT hinder data exchange and interpretation.
- Fast Healthcare Interoperability Resources (FHIR) standard is crucial for achieving semantic interoperability in healthcare.
- Structuring and mapping clinical data to FHIR improves shared data quality.
Approach:
- A systematic mapping review (SMR) analyzed 70 studies published between 2012 and 2022.
- Studies focused on FHIR semantic interoperability resources and terminologies.
- Approaches were inventoried and classified into 6 categories.
Key Points:
- Mapping, terminology services, RDF/OWL, annotation, ML/NLP, and ontology-based proposals were identified.
- Contributions included frameworks, architectures, models, techniques, services, and tools.
- Framework and architecture proposals were the most frequent contributions.
Conclusions:
- FHIR facilitates semantic interoperability through data collection, annotation, modeling, and mapping.
- ML and NLP show promise for unstructured data, but require terminology services and automation tools.
- Automated annotation and ontology comparison tools can reduce human effort and accelerate adoption.
Keywords:
EHRHL7 FHIRHealth Level Seven International Fast Healthcare Interoperability ResourcesMLNLPOWLRDFelectronic health recordinteroperability, web ontology languagemachine learningnatural language processingontologyresource description frameworksemanticterminologyMore Related Videos
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