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A meta-model for computer executable dynamic clinical safety checklists.

Shan Nan1,2, Pieter Van Gorp2, Xudong Lu3,4

  • 1School of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China.

BMC Medical Informatics and Decision Making
|December 14, 2017
PubMed
Summary
This summary is machine-generated.

A new dynamic checklist meta-model simplifies creating adaptable patient safety checklists for clinical use. This approach reduces errors and coding efforts, enhancing medical safety tools.

Keywords:
BPMNChecklistDroolsGASTONGLIFMetamodel

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Area of Science:

  • Medical Informatics
  • Clinical Workflow Optimization
  • Patient Safety Engineering

Background:

  • Safety checklists are cognitive tools to reduce medical errors but current implementations are rigid.
  • Computerized safety checklists improve workflow but increase cognitive and coding efforts.
  • A lack of formal, adaptable representation hinders effective dynamic checklist implementation.

Purpose of the Study:

  • To develop a dynamic checklist meta-model for flexible and efficient checklist creation.
  • To bridge the gap between clinical expert needs and informaticist implementation challenges.
  • To facilitate the integration of dynamic checklists into clinical workflows.

Main Methods:

  • A three-step approach involving domain analysis, investigation of existing tools, and meta-model development.
  • Elicitation of domain concepts and hierarchies to build the meta-model.
  • Validation through two case studies and mapping to hospital-specific modeling languages.

Main Results:

  • Successful development of dynamic peri-operative checklist sets for coronary artery bypass graft and percutaneous coronary intervention.
  • Demonstrated feasibility of the meta-model in both Dutch and Chinese hospital settings.
  • Facilitated modeling and execution of dynamic checklists using the proposed meta-model.

Conclusions:

  • A novel meta-model for dynamic checklists has been proposed, simplifying their creation.
  • The meta-model enables reuse of existing modeling languages and tools for dynamic checklists.
  • Feasibility is confirmed through practical implementation and validation in a clinical use case.