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Illustration of Clinical Decision Support System Development Complexity.

Jendrik Richter1, Stefan Vogel1

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

Studies in Health Technology and Informatics
|July 2, 2020
PubMed
Summary

Slow adoption of Clinical Decision Support Systems (CDSS) is addressed by illustrating CDSS development complexity. A new lifecycle and complexity model are proposed to guide future research and standardization efforts.

Keywords:
Clinical decision support systemssoftware development processsoftware engineeringsoftware lifecycle

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Area of Science:

  • Medical Informatics
  • Software Engineering

Background:

  • Clinical Decision Support Systems (CDSS) face slow dissemination due to issues like poor comprehensibility and user acceptance.
  • Unique application environments and specific problem settings further complicate CDSS implementation.

Purpose of the Study:

  • To illustrate the inherent complexity within the Clinical Decision Support (CDS) development process.
  • To propose a CDS-specific software lifecycle and a development complexity model.

Main Methods:

  • Literature research of published field reports on successful CDSS development.
  • Integration of generic software engineering models with identified CDS peculiarities.
  • Development of a CDS-specific software lifecycle and complexity illustration.

Main Results:

  • Identification of key peculiarities in CDS development and documentation.
  • Creation of a structured illustration for CDS development complexity.
  • Adaptation of software engineering models for the CDS context.

Conclusions:

  • The developed illustration can structure future CDS research.
  • The proposed model aids in standardization processes for CDSS development.
  • Addressing development complexity is crucial for improving CDSS dissemination.