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Related Experiment Videos

Simplifying record linkage: software and strategy.

A Wajda1, L L Roos

  • 1Faculty of Management, University of Manitoba, Winnipeg, Canada.

Computers in Biology and Medicine
|January 1, 1987
PubMed
Summary
This summary is machine-generated.

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Developing simpler, cost-effective record linkage software is crucial. The new LINKS system, built on SAS, successfully linked 95% of health records using exact and probabilistic matching methods.

Area of Science:

  • Health Informatics
  • Biostatistics
  • Data Management

Background:

  • Existing record linkage methodologies require improvement in terms of cost and software simplicity.
  • Facilitating the exploration of various linkage tactics is essential for optimizing data matching.

Purpose of the Study:

  • To develop a user-friendly and flexible record linkage system using SAS.
  • To implement both exact and probabilistic matching techniques within the developed system.

Main Methods:

  • The LINKS system was developed using SAS (Statistical Analysis System) and its macroprocessor.
  • The system was tested using data from the Manitoba Health Services Commission (MHSC) registry file and the Canadian Mortality Data Base (1979-1984).
  • Both exact and probabilistic matching algorithms were employed.

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Main Results:

  • Initial linkage runs achieved approximately 91% success rate.
  • Parameter modifications and further refinement improved the linkage rate to 95%.
  • The LINKS system demonstrated flexibility in handling different matching tactics.

Conclusions:

  • The developed LINKS system offers a user-friendly and flexible approach to record linkage.
  • The system, utilizing SAS, provides a cost-effective solution for exact and probabilistic matching.
  • High linkage rates achieved indicate the system's efficacy in connecting health and mortality data.