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CDSS-RM: a clinical decision support system reference model.

Dimitrios Zikos1, Nailya DeLellis2

  • 1School of Health Sciences, Central Michigan University, Mt. Pleasant, MI, USA. zikos1d@cmich.edu.

BMC Medical Research Methodology
|November 18, 2018
PubMed
Summary

This study introduces a Clinical Decision Support System Reference Model (CDSS-RM) to enhance clinical decision-making. The model integrates human cognition and data interactions for more effective healthcare systems.

Keywords:
Clinical decision makingDecision-support systemsReference modelSystems designTheoretical framework

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Medicine
  • Human-Computer Interaction

Background:

  • Clinical Decision Support Systems (CDSS) are crucial for aiding clinical decision-making.
  • Effective CDSS design must consider human cognitive functions, data interactions, and hospital information flow.
  • Existing CDSS may not fully capture the complexities of clinical decision-making processes.

Purpose of the Study:

  • To introduce a high-level reference model (CDSS-RM) for designing successful and contextually relevant CDSS.
  • To establish a foundation for CDSS design by outlining key characteristics of clinical decision-making.
  • To provide a framework for evaluating and improving CDSS.

Main Methods:

  • The paper outlines information flow, use, and sharing in a hospital setting.
  • It identifies key characteristics of the clinical decision-making process, including temporal steps, feedback loops, data integration, data reuse, and cognitive skill requirements.
  • A six-element reference model (CDSS-RM) is presented, framed as questions for CDSS design considerations, supported by examples.

Main Results:

  • A high-level reference model (CDSS-RM) with six interconnected elements is proposed.
  • These elements address cognitive mimicry, longitudinal insight, contextual realism, historical bias, integration of standards, and unstructured data utilization.
  • The model serves as a foundation for developing improved CDSS design methodologies.

Conclusions:

  • The CDSS-RM provides a structured approach to designing more effective Clinical Decision Support Systems.
  • Optimized CDSS design methodologies can improve healthcare system responses to clinical decision-making challenges.
  • The reference model facilitates the creation of contextually relevant and human-centered CDSS.