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Related Experiment Video

Updated: Jan 22, 2026

Floral-Dip Transformation of Flax Linum usitatissimum to Generate Transgenic Progenies with a High Transformation Rate

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FHIRCap: Transforming REDCap forms into FHIR resources.

Alejandro Metke-Jimenez¹, David Hansen¹

¹The Australian eHealth Research Centre, CSIRO, Herston, Queensland, Australia.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science

|July 2, 2019

Summary

This study introduces FHIRCap, a tool transforming REDCap data into FHIR resources for better clinical data sharing. It enables existing clinical trial data to be standardized without form modification.

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Area of Science:

Health Informatics
Clinical Data Management

Background:

Electronic data capture systems like REDCap are common in clinical trials.
Current systems lack robust support for clinical data sharing and interoperability.
Standardizing clinical data is crucial for research and care.

Purpose of the Study:

To implement and assess FHIRCap, a transformation engine mapping REDCap forms to Fast Healthcare Interoperability Resources (FHIR).
To evaluate the feasibility of transforming existing REDCap data into FHIR resources.

Main Methods:

Development of a transformation engine (FHIRCap) with rule-based mapping.
Implementation of a case study using an Australian Genomics project.
Analysis of transformation accuracy and identification of form design issues.

Main Results:

FHIRCap demonstrated flexibility in mapping most REDCap data to FHIR resources.
The system successfully transformed data from a real-world clinical trial.
Identified form design issues and provided recommendations for improved transformation.

Conclusions:

It is feasible to transform most data in existing REDCap projects to FHIR resources.
FHIRCap facilitates the standardization of clinical trial data without altering original forms.
This approach significantly enhances the availability of clinical trial data in a standardized format.