Challenges in Retrieving Patterns from Generic Data Structures in Clinical Systems – A Technical Case Report

The developed approach provides a systematic method for handling complex data relationships and maintaining data integrity in clinical systems using EAV models. This approach facilitates the secondary use of clinical data, enhancing its utility for medical research and practice.

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Publication Details

Journal
Studies in health technology and informatics
Published
2024-08-30
DOI
https://doi.org/10.3233/shti240857
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Challenges in Retrieving Patterns from Generic Data Structures in Clinical Systems – A Technical Case Report

Ines Reinecke, Richard Gebler, Martin Sedlmayr, Miriam Goldammer et al.
Studies in health technology and informatics
Data Quality and Management
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Challenges in Retrieving Patterns from Generic Data Structures in Clinical Systems – A Technical Case Report

Ines Reinecke, Richard Gebler, Martin Sedlmayr, Miriam Goldammer, Hung Manh Nguyen, Luise Donat, Jens Helbig
article en

Abstract

The developed approach provides a systematic method for handling complex data relationships and maintaining data integrity in clinical systems using EAV models. This approach facilitates the secondary use of clinical data, enhancing its utility for medical research and practice.

Studies in health technology and informaticsVol. 317
University Hospital Carl Gustav Carus (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Data Quality and Management
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