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Clinical modeling--a critical analysis.

Bernd Blobel1, William Goossen, Mathias Brochhausen

  • 1eHealth Competence Center, University Hospital Regensburg, Regensburg, Germany.

International Journal of Medical Informatics
|October 29, 2013
PubMed
Summary
This summary is machine-generated.

Effective clinical modeling is crucial for safe healthcare delivery. This study analyzes current methods, revealing weaknesses and proposing an improved development process for better domain expert involvement.

Keywords:
Architectural frameworkClinical modelsData elementsKnowledge representationOntologies

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Area of Science:

  • Health Informatics
  • Clinical Process Modeling
  • Healthcare System Architecture

Background:

  • Clinical process modeling is essential for high-quality, safe patient care via information and communication technology.
  • Meaningful use of healthcare data relies on accurate informational representations of clinical processes.

Purpose of the Study:

  • To systematically analyze existing clinical modeling approaches.
  • To evaluate their principles, consistency, integration potential, and accuracy in representing health services.
  • To identify opportunities for improvement in clinical modeling methodologies.

Main Methods:

  • Utilized an architectural framework for modeling real-world systems.
  • Applied ontological principles for representing clinical facts, relations, and processes.
  • Integrated advanced methodologies like translational and systems medicine.

Main Results:

  • Identified fundamental weaknesses and varying maturity levels in current clinical modeling approaches.
  • Proposed a structured development process from business domain ontologies to implementation views.
  • Highlighted the potential for evolutionary development in clinical modeling.

Conclusions:

  • Existing clinical modeling methods inadequately represent the business process, limiting domain expert involvement.
  • A standardized approach focusing on business process representation is needed.
  • Improved modeling can enhance the effectiveness and safety of healthcare information systems.