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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
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Clinical Correlations as a Tool in Basic Science Medical Education.

Brenda J Klement1, Douglas F Paulsen2, Lawrence E Wineski2

  • 1Department of Medical Education, Morehouse School of Medicine, Atlanta, GA, USA.

Journal of Medical Education and Curricular Development
|January 20, 2018
PubMed
Summary

Clinical correlations link basic science to medicine, enhancing student learning. Five methods, from simple examples to complex problem-solving, improve knowledge retention and clinical reasoning skills.

Keywords:
active learningclinical correlationgross anatomy educationmedical curriculummedical educationmedical learning toolmedical problem solving

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Area of Science:

  • Medical Education
  • Basic Science Integration

Background:

  • Clinical correlations bridge foundational science and medical practice.
  • Effective integration of clinical relevance is crucial for medical students.

Purpose of the Study:

  • To identify and describe various methods of embedding clinical correlations in basic science courses.
  • To highlight the benefits of clinical relevance in medical education.

Main Methods:

  • Categorization of five distinct types of clinical correlation activities.
  • Description of each method, ranging from correlated examples to course-centered problem-solving.

Main Results:

  • Identified five types of clinical correlations: correlated examples, interactive learning, specialized workshops, small-group activities, and course-centered problem solving.
  • Clinical relevance enhances student interest, communication, collaboration, knowledge retention, and clinical reasoning.

Conclusions:

  • Diverse clinical correlation methods can be effectively integrated into basic science curricula.
  • Incorporating clinical relevance significantly improves key aspects of medical student learning and skill development.