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Related Concept Videos

Classification of Illness01:17

Classification of Illness

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 and...
Concepts of Health and Illness01:29

Concepts of Health and Illness

Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.

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Related Experiment Video

Updated: Jul 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

A framework for evaluating health classifications.

Michelle Bramley1

  • 1Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW. michelle.bramley@fhs.usyd.edu.au

Health Information Management : Journal of the Health Information Management Association of Australia
|February 2, 2008
PubMed
Summary

This study presents a framework for evaluating health classifications, crucial for evidence-based health information management. The framework ensures classifications are suitable for statistical and reporting tasks, improving health data quality.

Related Experiment Videos

Last Updated: Jul 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Health Information Management
  • Medical Informatics
  • Health Data Science

Background:

  • Health classifications are vital components of health information systems.
  • Effective evaluation ensures classifications meet statistical and reporting needs.
  • Existing frameworks require updates to incorporate informatics' influence on nosology.

Purpose of the Study:

  • To provide a framework for evaluating health classifications used in statistical and reporting contexts.
  • To revise and update fundamental principles for effective health classifications.
  • To integrate informatics' impact on nosology into evaluation principles.

Main Methods:

  • Development of a revised framework for health classification evaluation.
  • Incorporation of principles from existing frameworks and informatics.
  • Illustration of principles with practical examples and discussion of topical issues.

Main Results:

  • A comprehensive framework for evaluating health classifications is proposed.
  • Updated principles address the evolving nature of health classifications in informatics.
  • Practical examples demonstrate the application of the framework.

Conclusions:

  • The proposed framework enhances the evaluation of health classifications for statistical and reporting purposes.
  • Updated principles ensure health classifications remain effective and relevant.
  • This work supports evidence-based policy and practice in Health Information Management.