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ICD9 Code Assistant: A prototype.

Selnur Erdal1, Jing Ding, Carol Osborn

  • 1The Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
PubMed
Summary
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This study developed a tool using the UMLS Meta Thesaurus to quickly identify clinical concepts and ICD-9 codes from real-time patient data at Ohio State University Medical Center. This assists medical coders, physicians, and researchers in accessing crucial information efficiently.

Area of Science:

  • Health Informatics
  • Medical Data Management
  • Clinical Coding

Background:

  • Real-time patient reports and clinical data are available in the Ohio State University Medical Center (OSUMC) Information Warehouse (IW).
  • Efficient retrieval of clinical concepts and associated diagnostic codes is crucial for healthcare professionals.

Purpose of the Study:

  • To develop a tool that leverages the OSUMC Information Warehouse (IW) and the Unified Medical Language System (UMLS) Meta Thesaurus.
  • To assist medical record coders, administrators, physicians, and researchers in rapidly identifying clinical concepts and their corresponding ICD-9 codes.

Main Methods:

  • Utilized the UMLS Meta Thesaurus to map clinical concepts.
  • Integrated the tool with the OSUMC Information Warehouse (IW) for real-time data access.

Related Experiment Videos

  • Developed a system to link identified clinical concepts to ICD-9 codes.

    • Main Results:

    • Successfully created a tool to identify clinical concepts from patient data.
    • Enabled quick association of identified concepts with relevant ICD-9 codes.
    • Provided a valuable resource for users needing to access coded medical information.

    Conclusions:

    • The developed tool enhances the efficiency of accessing and coding clinical information.
    • Leveraging the UMLS Meta Thesaurus with institutional data warehouses can improve clinical data utilization.
    • Facilitates better data management for medical coders, administrators, physicians, and researchers.