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Updated: Jun 20, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

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Published on: September 26, 2018

An openEHR-based clinical decision support system: a case study.

Hajar Kashfi1

  • 1Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden. hajar.kashfi@chalmers.se

Studies in Health Technology and Informatics
|September 12, 2009
PubMed
Summary

Developing a Clinical Decision Support System (CDSS) for dry mouth using traditional methods is challenging due to complex, unstructured knowledge. This study explores issues with using openEHR for creating such systems, highlighting its benefits.

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Last Updated: Jun 20, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Digital Health

Background:

  • Traditional methods for developing clinical applications face challenges with unstructured and complex domain knowledge.
  • Dry mouth (xerostomia) presents unique knowledge representation difficulties for clinical software.

Purpose of the Study:

  • To identify and present the specific issues encountered when developing an openEHR-based Clinical Decision Support System (CDSS) for dry mouth.
  • To explore the suitability and challenges of using the openEHR standard for a CDSS in a domain with complex, unstructured knowledge.

Main Methods:

  • The study involved practical experiences and analysis of developing a CDSS for dry mouth.
  • Evaluation of the openEHR framework's applicability and limitations in this context.

Main Results:

  • Traditional approaches are inadequate for developing CDSS in domains with unstructured knowledge, like dry mouth.
  • The openEHR framework offers potential benefits but also presents specific development challenges for this application.

Conclusions:

  • Developing a CDSS for dry mouth requires addressing knowledge structuring issues.
  • openEHR presents a viable, though complex, alternative for building such systems, necessitating careful consideration of its implementation challenges.