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Related Experiment Videos

Variables, variability, and variations research: implications for medical informatics

W L Holzemer1, C A Reilly

  • 1Department of Mental Health, University of California, San Francisco, USA.

Journal of the American Medical Informatics Association : JAMIA
|May 1, 1995
PubMed
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Variations research uses information systems to identify healthcare quality improvement variables. A systems model aids in specifying factors influencing patient care, provider actions, and outcomes.

Area of Science:

  • Health Services Research
  • Medical Informatics
  • Quality Management

Background:

  • Healthcare quality management employs variations research to improve care and control costs.
  • Information systems are crucial for identifying variables, measuring variability, and studying intervention-outcome linkages in healthcare.

Purpose of the Study:

  • To present a systems model for variable specification in variations research.
  • To explore the implications of variable specification, variability measurement, and control for medical informatics.

Main Methods:

  • A systems model framework (inputs, processes, outcomes) was used.
  • Explication of client, provider, and setting factors for variable specification.
  • Discussion linking variable specification and control to medical informatics.

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Main Results:

  • The systems model provides a heuristic strategy for variable specification.
  • Information systems facilitate the measurement and analysis of variability in healthcare.
  • Effective variable specification and control are critical for successful variations research.

Conclusions:

  • The proposed systems model enhances variable specification in variations research.
  • Medical informatics plays a key role in leveraging information systems for healthcare quality improvement.
  • Understanding and controlling variables are essential for advancing variations research and its impact on healthcare.