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Related Experiment Videos

Problem solving.

R B McGrath1

  • 1Indiana University Medical Center, Regenstrief Health Center, Indianapolis 46202.

Indiana Medicine : the Journal of the Indiana State Medical Association
|April 1, 1990
PubMed
Summary
This summary is machine-generated.

This study presents a practical problem-solving algorithm designed to aid students and physicians in clinical decision-making at the bedside. The algorithm has been refined through real-world clinical practice for improved effectiveness.

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Area of Science:

  • Medical Education
  • Clinical Practice
  • Problem-Solving Methodologies

Background:

  • Bedside clinical decision-making presents challenges for both students and physicians.
  • Effective problem-solving strategies are crucial for optimal patient care.

Purpose of the Study:

  • To detail a problem-solving algorithm for clinical bedside decision-making.
  • To present an algorithm that has evolved through practical application.

Main Methods:

  • Algorithm development and refinement based on clinical practice.
  • Iterative tailoring of the problem-solving approach.

Main Results:

  • A structured algorithm for bedside decision-making has been established.

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  • The algorithm is adaptable and has been validated in clinical settings.

    • Conclusions:

    • The presented algorithm offers a practical framework to enhance clinical decision-making.
    • Continuous refinement through practice improves the utility of decision-making tools.