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Building a Semantic Model to Enhance the User's Perceived Functionality of the EHR.

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This study introduces a novel system for enhanced Electronic Health Records (EHR) usability. It leverages clinical workflows and Semantic Web Services (SWS) with an ontology for flexible data access.

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Area of Science:

  • Health Informatics
  • Semantic Web Technologies
  • Ontology Engineering

Background:

  • Electronic Health Records (EHRs) present usability challenges for healthcare professionals.
  • Current EHR systems often lack flexibility and efficient data access for daily clinical tasks.

Purpose of the Study:

  • To design a system enhancing EHR usability through functional and flexible access.
  • To develop an ontology-based system for managing clinical workflows and Semantic Web Services (SWS).

Main Methods:

  • Designed a system integrating clinical workflows and Semantic Web Services (SWS).
  • Developed a backbone ontology to model patient-centered clinical workflows, tasks, and data.
  • Utilized the semantic model for dynamic service selection within the EHR system.

Main Results:

  • The developed ontology successfully models patient-centered clinical EHR workflows.
  • The system enables functional and flexible access to EHR data based on workflow execution.
  • The semantic model facilitates dynamic selection of relevant services.

Conclusions:

  • The proposed ontology-driven system significantly improves EHR usability for healthcare professionals.
  • The integration of Semantic Web Services and clinical workflows offers a flexible approach to EHR access.
  • The semantic model is crucial for enabling dynamic and context-aware service discovery in healthcare.