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Data structure and computer program for fast interactive searches of clinical diagnoses

A König1

  • 1Klinikum Innenstadt, Medizinische Klinik, Munich, Germany.

Medical Informatics = Medecine Et Informatique
|January 1, 1993
PubMed
Summary

This study introduces an inverted database structure for International Classification of Diseases (ICD) codes. This system enables rapid searching of complex diagnosis combinations for clinical research.

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Area of Science:

  • Medical Informatics
  • Health Data Management

Background:

  • Hospitals store International Classification of Diseases (ICD) codes for patient diagnoses since 1987.
  • Existing patient-oriented databases present challenges for complex diagnostic searches.

Purpose of the Study:

  • To develop an efficient data structure for interactive diagnosis searching.
  • To create a computer program for fast retrieval of complex diagnosis combinations.

Main Methods:

  • Inverting a patient-oriented database into a diagnosis-sorted data structure.
  • Implementing a computer program to query the inverted database.

Main Results:

  • The inverted data structure allows for significantly faster searches.
  • The system efficiently handles complex combinations of diagnoses.

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Conclusions:

  • The developed data structure and program enhance the utility of historical ICD code data.
  • This facilitates advanced clinical research and data analysis.