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Related Concept Videos

Quality Assurance01:19

Quality Assurance

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Quality Control01:05

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Data Collection III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Data Validation01:03

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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.
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Data Validation01:15

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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Related Experiment Video

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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Quality Appraisal: Part I.

Deborah A Raines

    Neonatal Network : NN
    |January 24, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study explains how to determine the level of evidence in scientific research, a key step for evidence-based practice.

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    Area of Science:

    • Evidence-based practice
    • Research methodology
    • Scientific literature appraisal

    Background:

    • Quality appraisal is crucial for evidence-based practice.
    • Determining the level of evidence is a core component of quality appraisal.
    • This column addresses the designation of evidence levels in scientific research.

    Purpose of the Study:

    • To provide guidance on designating the level of evidence for scientific research.
    • To enhance the understanding of evidence appraisal within the evidence-based practice framework.

    Main Methods:

    • Focuses on the process of classifying scientific research based on its level of evidence.
    • Explains the criteria and considerations for assigning evidence levels.

    Main Results:

    • Provides a framework for understanding and applying evidence levels.
    • Highlights the importance of consistent evidence level designation.

    Conclusions:

    • Designating the level of evidence is fundamental to quality appraisal in evidence-based practice.
    • Accurate evidence level determination supports the effective use of scientific research.