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Related Concept Videos

Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
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How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
519
Methods of Classification and Identification01:28

Methods of Classification and Identification

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Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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Onboarding the New Cancer Registrar.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Identifying Class of Case to Improve Data Quality.

Meredith LeBeau

    Journal of Registry Management
    |August 25, 2016
    PubMed
    Summary

    Accurately identifying the Class of Case is vital for cancer program data analysis and reporting. Understanding this classification is essential for determining patient population characteristics and ensuring accurate statistical insights.

    Area of Science:

    • Oncology
    • Health Informatics
    • Biostatistics

    Background:

    • Accurate Class of Case identification is critical for cancer program data analysis.
    • It impacts the understanding of patient population characteristics and community targeting.
    • Challenges arise from mergers, acquisitions, and contractual agreements.

    Purpose of the Study:

    • To highlight the importance of Class of Case identification in cancer programs.
    • To underscore the influence of Class of Case on statistical analysis and public reporting.
    • To address the complexities in determining Class of Case due to organizational changes.

    Main Methods:

    • Review of data analysis protocols in oncology.
    • Analysis of factors influencing Class of Case determination.

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  • Case study on challenges in physician/institution mergers and acquisitions.

    • Main Results:

    • Class of Case significantly affects the interpretation of patient data.
    • Mergers and acquisitions introduce complexities in accurate classification.
    • Standardized methods are needed to ensure consistent reporting.

    Conclusions:

    • Accurate Class of Case identification is fundamental for reliable cancer program analytics.
    • Addressing the challenges in classification is key for valid statistical analysis and public reporting.
    • Clearer guidelines are needed to navigate classification complexities in evolving healthcare landscapes.