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Towards a Generic Description Schema for Clinical Decision Support Systems.

Stefan Vogel1, Dagmar Krefting1

  • 1Department of Medical Informatics, University Medical Center Göttingen, Germany.

Studies in Health Technology and Informatics
|May 25, 2022
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Summary

Many clinical decision support systems (CDSS) show promise in research but struggle in routine care. This study proposes a schema to analyze CDSS design factors, aiming to bridge the gap between development and clinical practice.

Keywords:
Artificial IntelligenceClinical Decision Support SystemsHarmonizationSoftware Architecture

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Area of Science:

  • Health Informatics
  • Medical Informatics
  • Clinical Decision Support

Background:

  • Clinical decision support systems (CDSS) demonstrate high efficacy in research settings.
  • However, a significant translation gap exists, hindering their adoption into routine clinical practice.

Purpose of the Study:

  • To analyze success and failure factors in CDSS design.
  • To propose a comprehensive schema for describing CDSS designs consistently.
  • To investigate the translation gap by focusing on design criteria.

Main Methods:

  • Development of a novel schema for CDSS design description.
  • Integration of existing description models relevant to CDSS.
  • Focus on design criteria to enable consistent comparison.

Main Results:

  • A comprehensive schema for describing CDSS designs is proposed.
  • The schema allows for consistent description and comparison of CDSS.
  • It is applicable across different domains and architectures.

Conclusions:

  • The proposed schema facilitates a deeper understanding of CDSS design.
  • It can guide future CDSS development to improve translation into routine care.
  • Addressing design factors is crucial for bridging the CDSS translation gap.