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Related Experiment Videos

Using ICPC in a computer-based primary care information system

M S Klinkman1, L A Green

  • 1Department of Family Practice, University of Michigan, Ann Arbor, USA.

Family Medicine
|July 1, 1995
PubMed
Summary
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A new Primary Care Information System (PCIS) uses the International Classification of Primary Care (ICPC) to create episodes of care from clinical data. This system offers a promising approach for studying primary health care processes.

Area of Science:

  • Health Informatics
  • Primary Health Care Research
  • Medical Data Management

Background:

  • The episode of care framework is valuable for analyzing primary health care processes.
  • Automated data sources for episode-oriented analysis have been slow to develop.
  • The International Classification of Primary Care (ICPC) is effective in Europe but underutilized in the US.

Purpose of the Study:

  • To describe the development of a Primary Care Information System (PCIS).
  • To utilize the ICPC for creating episodes of care from routine clinical data.
  • To assess the performance of the PCIS.

Main Methods:

  • The PCIS is a partially computerized system integrating ICPC, ICD-9-CM, and CPT-4 coding.
  • It provides episode-oriented data for clinical, administrative, research, and reimbursement purposes.

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  • Performance was evaluated based on clinician cooperation, data accuracy, episode validity, cost, and user value.
  • Main Results:

    • Data collection and entry required minimal clinician effort with high accuracy.
    • Data management costs were approximately $1 per encounter.
    • Inaccurate tracking of episode boundaries due to provider changes was identified and addressed in the second-generation system.

    Conclusions:

    • Combining an episode-oriented framework like ICPC with a flexible information system is promising.
    • This approach supports the study of primary health care content and processes.
    • The PCIS demonstrates a viable method for collecting and analyzing episode-based primary care data.