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Updated: Aug 29, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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Published on: October 13, 2023

Pathling: analytics on FHIR.

John Grimes¹, Piotr Szul², Alejandro Metke-Jimenez²

¹Australian e-Health Research Centre, CSIRO, Level 7, Surgical Treatment and Rehabilitation Service (STARS), Royal Brisbane and Women's Hospital, Herston, 4029, Queensland, Australia. John.Grimes@csiro.au.

Journal of Biomedical Semantics

|September 8, 2022

Summary

This summary is machine-generated.

New tools are needed for analyzing Fast Healthcare Interoperability Resources (FHIR) data. Pathling offers a FHIR Analytics API to improve health data analytics and terminology integration for researchers.

Keywords:

Clinical terminology Data analytics FHIR FHIRPath Interoperability SNOMED CT

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Area of Science:

Health Informatics
Health Data Analytics

Background:

The health sector's digitization and evolving standards necessitate better tools for analyzing Fast Healthcare Interoperability Resources (FHIR) data.
Existing tools lack sufficient support for users analyzing FHIR data and clinical terminology.

Purpose of the Study:

To develop improved tooling for health data analytics.
To enhance the analysis of Fast Healthcare Interoperability Resources (FHIR) data and associated clinical terminology.

Main Methods:

Developed a server implementation with a FHIR API featuring new operations for exploratory data analysis (EDA), cohort selection, and data preparation.
Integrated a FHIR Terminology Service to incorporate knowledge from terminologies like SNOMED CT.
Created a prototype user interface for EDA with visualizations.

Main Results:

A FHIR API was implemented to support advanced health data analysis tasks.
Integration with a FHIR Terminology Service allows for richer query capabilities.
A prototype EDA interface and visualizations were developed.

Conclusions:

The Pathling FHIR Analytics API pattern is a valuable abstraction for health data scientists and developers.
Pathling enhances the utility of FHIR for health data analytics and complex clinical terminology use.