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From data to knowledge through concept-oriented terminologies: experience with the Medical Entities Dictionary.

J J Cimino1

  • 1Columbia University, College of Physicians and Surgeons, New York, New York, USA. ciminoj@flux.cpmc.columbia.edu

Journal of the American Medical Informatics Association : JAMIA
|June 1, 2000
PubMed
Summary

Knowledge-based terminologies, like the Medical Entities Dictionary (MED), are crucial for organizing medical data. Experience shows these terminologies enhance patient data understanding and support advanced medical applications.

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Area of Science:

  • Medical Informatics
  • Knowledge Representation
  • Clinical Terminology

Background:

  • Traditional medical knowledge representation prioritizes structure over symbolic content.
  • Significant global initiatives are developing knowledge-based terminologies to address this gap.

Purpose of the Study:

  • To review efforts in creating knowledge-based medical terminologies.
  • To demonstrate the utility of the Medical Entities Dictionary (MED) through a decade of use.

Main Methods:

  • Review of ongoing local, national, and international efforts in medical terminology development.
  • Analysis of a decade of experience with the Medical Entities Dictionary (MED) at Columbia University and New York Presbyterian Hospital.

Main Results:

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  • The Medical Entities Dictionary (MED) proves that knowledge-based terminologies can effectively support coded patient data.
  • Applications include improved data understanding, targeted information retrieval, expert system integration, and new knowledge discovery.
  • MED's terminological knowledge also facilitates clinical application development and maintenance.

Conclusions:

  • Knowledge-based terminologies are essential for advancing medical informatics.
  • The success of the MED validates current efforts to establish standard knowledge-based terminologies.