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Related Concept Videos

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

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Related Experiment Video

Updated: May 24, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

An Automatic Data Extracting Method for REDCap Folder Mapping: An Example for Cardiological Clinical Case.

Patrizia Vizza1, Mariaghita Cassano2, Laura Azzinnaro1

  • 1University of Calabria, Italy.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a REDCap folder mapping methodology to standardize research project organization. This improves data traceability and management in complex biomedical research.

Keywords:
CardiologyFolder MappingREDCap

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Area of Science:

  • Biomedical Engineering
  • Data Science
  • Bioinformatics

Background:

  • Biomedical and bioengineering research complexity necessitates robust data management.
  • Research Electronic Data Capture (REDCap) lacks standardized project file organization.
  • This gap challenges large-scale, multidisciplinary studies, especially in cardiovascular bioengineering.

Purpose of the Study:

  • To propose a systematic methodology for mapping REDCap folders.
  • To standardize the organizational structure of research project directories.
  • To enhance data integrity, traceability, and collaboration in research.

Main Methods:

  • Developed a hierarchical model for data flow from raw acquisition to processed outcomes.
  • Defined best practices and a customizable template for research contexts.
  • Validated the methodology in a cardiovascular bioengineering use case.

Main Results:

  • Demonstrated improved data traceability, accessibility, and project organization.
  • Significantly reduced time for data retrieval and management.
  • Minimized data misplacement risk and enhanced researcher collaboration.

Conclusions:

  • The proposed methodology strengthens data governance and reproducibility in biomedical research.
  • Standardized REDCap folder mapping facilitates efficient data management.
  • The framework is adaptable to various research settings, improving overall research efficiency.