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Pediatric clinical decision making

J E Scharre1, M M Marciniak

  • 1Illinois College of Optometry, Chicago 60616.

Journal of the American Optometric Association
|May 1, 1994
PubMed
Summary
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Decision-making algorithms simplify complex pediatric clinical situations, aiding diagnosis and treatment. This strategy is especially useful for pediatric patients with conditions like nystagmus and esotropia.

Area of Science:

  • Ophthalmology
  • Pediatrics
  • Clinical Decision Science

Background:

  • Clinical diagnosis involves systematic data gathering, hypothesis generation, and judgment, which can be complex and time-consuming.
  • Decision-making algorithms offer a structured model to simplify intricate clinical scenarios.
  • This approach is particularly beneficial in pediatrics due to significant variability in patient responses.

Purpose of the Study:

  • To present a clinical strategy utilizing decision-making algorithms for pediatric patients.
  • To illustrate the application of this strategy in specific ophthalmological conditions.

Main Methods:

  • Development of two clinical decision-making trees.
  • Application of these trees to address pediatric nystagmus and esotropia.

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Main Results:

  • The presented decision trees offer structured pathways for problem-solving in pediatric ophthalmology.
  • These algorithms facilitate a systematic approach to diagnosis and treatment planning.

Conclusions:

  • Decision analysis in pediatric patient care can be streamlined through well-defined decision-making algorithms.
  • This strategy empowers clinicians to develop personalized problem-solving methods for improved clinical care.