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Related Concept Videos

Types of Reports II: Incident or Occurrence Report01:21

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An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
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SHACL-Based Report Quality Evaluation for Health IT-Induced Medication Errors.

Daniel Keuchel1, Nicolai Spicher2, Ju Wang2

  • 1Department of Computer Science, University of Applied Sciences and Arts Dortmund, Dortmund, North Rhine-Westphalia, Germany.

Studies in Health Technology and Informatics
|June 8, 2022
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This study introduces SHACL to represent patient safety event (PSE) reports, improving data quality for health IT medication errors. This enables automated analysis and quality scoring of critical healthcare safety information.

Keywords:
Patient safetyhealth ITinformation representation

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Area of Science:

  • Health Informatics
  • Medical Informatics
  • Patient Safety

Background:

  • Patient safety event (PSE) reports are crucial for analyzing healthcare risks.
  • Low report quality due to missing information hinders effective risk analysis.
  • Automating the analysis and quality evaluation of PSE reports is needed.

Purpose of the Study:

  • To evaluate the suitability of Shapes Constraint Language (SHACL) for representing health IT-induced medication error reports.
  • To develop an ontology and SHACL graph for structured data representation.
  • To enable automatic quality scoring of PSE reports.

Main Methods:

  • Applied SHACL to define an ontology for health IT-induced medication error reports.
  • Manually annotated and transformed 20 textual PSE reports into the SHACL representation.
  • Computed a quality score for each report based on the SHACL representation.

Main Results:

  • SHACL proved suitable for representing health IT-induced medication error reports.
  • The SHACL representation facilitated the computation of report quality scores.
  • Demonstrated a pathway for automated information extraction and quality evaluation.

Conclusions:

  • SHACL is an effective data representation for PSE reports, particularly for health IT-induced medication errors.
  • This approach supports automated text mining and quality assessment of safety reports.
  • Enables enhanced analysis of healthcare risks through improved data quality and structure.