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The MEDLINE Button.

J J Cimino1, S B Johnson, A Aguirre

  • 1Center for Medical Informatics, Columbia University College of Physicians and Surgeons, New York, New York 10032.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1992
PubMed
Summary
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This study introduces a novel computerized method for direct bibliographic searching from patient data. It streamlines clinical information retrieval by translating diagnoses and procedures into searchable medical terms.

Area of Science:

  • Medical Informatics
  • Clinical Information Systems
  • Bibliographic Searching

Background:

  • Clinicians often need to perform bibliographic searches to answer patient-specific questions.
  • Existing methods for linking patient data to literature searches can be cumbersome and time-consuming.
  • Integrating clinical data with medical literature databases is crucial for evidence-based practice.

Purpose of the Study:

  • To develop and test a computerized method for direct bibliographic searches originating from patient data.
  • To automate the translation of clinical information into standardized indexing terms for literature retrieval.
  • To facilitate efficient access to relevant medical literature based on individual patient cases.

Main Methods:

  • A five-step computerized method was developed, starting with identifying patient data that prompts a clinical question.

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  • Generic questions were selected to match the patient data, followed by automated translation into indexing terms (e.g., ICD-9-CM to MeSH).
  • The method was implemented using the Columbia-Presbyterian Clinical Information System, searching MEDLINE via BRS/Onsite.

    • Main Results:

    • The system successfully converted patient diagnoses and procedures (ICD-9-CM) into Medical Subject Headings (MeSH) for MEDLINE searches.
    • The initial implementation demonstrated the feasibility of automating parts of the bibliographic search process.
    • Key challenges identified include developing a comprehensive set of generic questions and refining the ICD-9-CM to MeSH translation using UMLS.

    Conclusions:

    • A computerized method for direct bibliographic searching from patient data has been successfully developed and piloted.
    • Automated translation of clinical codes (ICD-9-CM) to medical thesaurus terms (MeSH) is a critical component for effective literature retrieval.
    • Further development is needed for generic question sets and robust terminology mapping to optimize clinical decision support.