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Clinical Events as Building Blocks for Smart Workflows and Decision Support.

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Summary
This summary is machine-generated.

We created a Clinical Events Catalog to improve electronic medical records (EMRs). This structured approach enhances clinical decision support and workflow automation for better healthcare.

Keywords:
Clinical EventsHealthcare workflowInteroperabilityStructured Documentation

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Area of Science:

  • Health Informatics
  • Clinical Informatics
  • Digital Health Systems

Background:

  • Traditional electronic medical records (EMRs) are document-centric and lack structure for real-time clinical decision support.
  • This limits workflow automation and efficient data utilization in healthcare settings.

Purpose of the Study:

  • To define atomic clinical events for dynamic workflows.
  • To enable structured documentation and enhance decision support systems.
  • To transition from static documentation to process-aware EMRs.

Main Methods:

  • A multidisciplinary team identified 168 atomic clinical events by analyzing clinical pathways.
  • Each event was defined with a textual description, data payload, and performance metrics (KPIs).
  • The catalog was developed through iterative validation and expert consensus.

Main Results:

  • A comprehensive Clinical Events Catalog covering nine clinical domains was developed.
  • Standardized, actionable representations of clinical moments (e.g., 'Vitals Examined') were created.
  • These events serve as modular triggers for workflow engines and clinical decision support.

Conclusions:

  • The catalog provides a framework for improved data structure, auditability, and workflow transparency in EMRs.
  • It supports the development of more responsive and intelligent digital health systems.
  • This work lays the foundation for enhanced interoperability, clinical safety, and decision support integration.