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Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Review and Preview

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...

Types of Records II: Educational and Administrative Records

Types of Records II: Educational and Administrative Records

Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned:

Protein Complex Assembly

Protein Complex Assembly

Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types. Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...

Complex Numbers

Complex Numbers

The real number system cannot represent the square root of a negative number, which restricts solutions for certain equations, such as quadratics with negative discriminants. To address this, the complex number system was developed, introducing the imaginary unit i, where i = √(-1). This extension allows for the representation of all roots, including those involving negative radicands.A complex number is written in the form x + yi, where x and y are real numbers. Here, x represents the...

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The clinical educator and complexity: a review.

Adrian Schoo¹, Koshila Kumar¹

¹Prideaux Centre for Research in Health Professions Education, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.

The Clinical Teacher

|February 9, 2018

Summary

This summary is machine-generated.

Complexity science offers new insights into health professions education. Understanding clinical educators as part of a dynamic, interconnected system is key for effective capacity building.

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Area of Science:

Health Professions Education
Complexity Science
Systems Thinking

Background:

Complexity science offers a novel lens for examining foundational assumptions in health professions education.
The role and development of clinical educators within complex systems require further articulation.
This review explores complexity principles, a conceptual model for clinical educators, and implications for various levels.

Purpose of the Study:

To outline key principles of complexity science relevant to health professions education.
To present a conceptual model of the clinical educator within a complex system.
To discuss the implications of complexity thinking for clinical educators at individual, organizational, and systemic levels.

Main Methods:

Literature review of complexity science principles.
Development of a conceptual model situating clinical educators within a dynamic system.
Analysis of implications across personal, health service, educational, and societal domains.

Main Results:

A conceptual model positions clinical educators centrally within a complex, dynamic system across four domains (personal, health services, educational, societal) and three levels (micro, meso, macro).
The model underscores the interconnectedness and unpredictability inherent in the clinical educator's environment.
Recognizing and responding to system dynamics are crucial for individuals, teams, and organizations.

Conclusions:

Clinical educators operate within intricate systems characterized by diverse agents and connections.
A shift from faculty development to capacity building is advocated to enhance capabilities for navigating complexity.
Developing individual, team, organizational, and system capabilities is essential for effective practice within complex health professions education environments.