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Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log

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The semantically based query recommendation (SBQR) feature in the Electronic Medical Record Search Engine (EMERSE) enhances user experience by automatically expanding queries. This leads to improved perceived performance, especially in moderately difficult searches, without significant user modification.

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Area of Science:

  • Medical Informatics
  • Information Retrieval
  • Human-Computer Interaction

Background:

  • Effective information retrieval (IR) systems are vital for utilizing electronic health records.
  • A previous study developed a prototype medical IR system with a semantically based query recommendation (SBQR) feature, demonstrating high end-user perceived performance.
  • This follow-up study analyzes query logs to understand the factors behind the system's perceived performance.

Purpose of the Study:

  • To investigate how query recommendation assists users with limited knowledge of their information needs in refining search queries.
  • To evaluate the impact of the SBQR feature within the Electronic Medical Record Search Engine (EMERSE) on user search behavior and query formulation.
  • To understand the contribution of SBQR to perceived system performance in medical information retrieval.

Main Methods:

  • Analysis of query log data from a previous experimental study involving EMERSE with the SBQR feature.
  • Comparison of initial user queries with queries formulated using SBQR assistance.
  • Examination of query similarity using the Jaccard similarity coefficient and entropy analysis of search results.

Main Results:

  • Initial and SBQR-assisted final queries showed high similarity (Jaccard index=0.77), indicating automatic query expansion was key.
  • Perceived system performance was attributed to SBQR's automatic query expansion, not manual user query refinement.
  • Search results converged in moderately difficult scenarios, with convergence degree correlating strongly with perceived performance.

Conclusions:

  • SBQR can significantly contribute to positive user perceptions of medical IR system performance, depending on search difficulty.
  • Medical IR systems should consider incorporating SBQR as a user-controlled or semi-automated feature.
  • Future research should involve controlled multisite studies to validate EMERSE with SBQR for tasks like patient cohort identification.