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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Using Gensim TFIDF and LSI Models to Retrieve Potential Answers to Clinical Questions from Clinical Practice

Mohammadreza Azarpira1

  • 1Centre Hospitalier Intercommunal de Meulan les Mureaux, Yvelines, France.

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General practitioners can now get quick answers to clinical questions using a new information retrieval system. This tool effectively extracts information from clinical practice guidelines (CPGs), improving point-of-care decision-making.

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Clinical Practice GuidelinesGensimInformation Retrieval SystemLSISimilarityTFIDF

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Area of Science:

  • Medical Informatics
  • Clinical Decision Support
  • Information Retrieval

Background:

  • General Practitioners (GPs) frequently face clinical questions at the point of care that remain unanswered, impacting patient management.
  • Despite technological advancements, the proportion of unresolved clinical queries has remained stagnant, highlighting a persistent gap in accessible medical knowledge.
  • International Clinical Practice Guidelines (CPGs) offer evidence-based answers but their extensive volume hinders timely access for clinicians.

Purpose of the Study:

  • To develop and evaluate an Information Retrieval System (IRS) designed to efficiently extract relevant answers from CPGs for GPs.
  • To address the challenge of accessing up-to-date clinical evidence at the point of care.

Main Methods:

  • Utilized serialized Gensim TFIDF and Latent Semantic Indexing (LSI) models for text processing and information extraction.
  • Developed an algorithm to retrieve the most relevant answers to clinical questions from a corpus of CPGs.

Main Results:

  • The developed IRS successfully identified the correct answers to clinical questions within the top six retrieved results in 98% of cases.
  • Demonstrated the system's high accuracy in pinpointing relevant information from extensive clinical practice guidelines.

Conclusions:

  • The novel IRS significantly enhances the utility of CPGs for general practitioners at the point of care.
  • This system offers a practical solution to improve clinical decision-making by providing rapid access to evidence-based information.