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Concept-Based Retrieval from Critical Incident Reports.

Kerstin Denecke1

  • 1Bern University of Applied Sciences, Bern, Switzerland.

Studies in Health Technology and Informatics
|May 17, 2017
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Summary
This summary is machine-generated.

This study introduces a semantic search method to improve the retrieval of incident reports from Critical Incident Reporting Systems (CIRS). Combining keyword search with semantic analysis significantly enhances the ability to find relevant reports.

Keywords:
Critical Incidents ReportingData MiningInformation RetrievalNatural Language Processing

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Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Information Retrieval

Background:

  • Critical Incident Reporting Systems (CIRS) collect anonymous incident data from healthcare settings.
  • Analysis of CIRS data aids in identifying workflow, infrastructure, and process issues.
  • Current CIRS often lack adequate support for efficient report retrieval and analysis.

Purpose of the Study:

  • To develop an effective method for retrieving specific reports from CIRS based on user queries.
  • To overcome the limitations of manual and time-consuming report analysis.

Main Methods:

  • Utilized natural language processing (NLP) and information retrieval (IR) techniques.
  • Compared standard word-frequency-based retrieval with a semantic mapping approach using a medical ontology.
  • Implemented semantic document enrichment for improved retrieval.

Main Results:

  • Demonstrated the feasibility of semantic document enrichment for enhancing incident report retrieval.
  • Achieved highly satisfactory recall values by combining standard keyword-based retrieval with semantic search.
  • Validated the effectiveness of the proposed semantic retrieval method.

Conclusions:

  • The developed method shows promise for improving the utility of CIRS data.
  • Future work should involve larger datasets and real-time user evaluations for comprehensive assessment.
  • Further research can optimize semantic search for better incident analysis.