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Related Experiment Video

Updated: May 19, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

Archetype based search in an IHE XDS environment.

Christoph Rinner¹, Michael Kohler, Gudrun Hübner-Bloder

¹Medical University of Vienna, Austria. christoph.rinner@meduniwien.ac.at

Studies in Health Technology and Informatics

|August 10, 2012

Summary

Physicians can now search electronic health records (EHRs) more effectively using a new content-based search method that extends existing metadata searches. This approach helps reduce information overload and improves data retrieval efficiency for better clinical decision-making.

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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Area of Science:

Health Informatics
Medical Informatics
Information Retrieval

Background:

Physicians face information overload when accessing electronic health records (EHRs).
Current metadata-based search in IHE XDS (Integrating the Healthcare Enterprise - Cross-Enterprise Document Sharing) may not retrieve all necessary information efficiently.
Need for enhanced search capabilities in EHR systems to support clinical workflows.

Purpose of the Study:

To develop and evaluate a method extending IHE XDS metadata-based search to include content-based search.
To improve the efficiency and effectiveness of information retrieval from EHRs for physicians.
To reduce physician cognitive load by providing targeted information.

Main Methods:

Developed a method to extend IHE XDS profile metadata-based search to content-based search.
Created detailed queries based on predefined information needs mapped to ISO/EN 13606 Archetypes.
Aggregated queries for metadata-based retrieval of relevant documents.
Analyzed retrieved documents for desired content and presented results in a tabular format.

Main Results:

The proposed content-based search method was successfully implemented within the IHE XDS framework.
Evaluating physicians found the content-based search approach to be helpful.
The system efficiently retrieved and presented relevant information, reducing search time and improving usability.

Conclusions:

Content-based search effectively complements metadata-based search in IHE XDS.
This enhanced search capability can significantly alleviate physician information overload.
The method is efficient, implementable, and beneficial for clinical practice.