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Related Concept Videos

Quality Assurance01:19

Quality Assurance

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...
Quality Control01:05

Quality Control

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...
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...

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Related Experiment Video

Updated: May 21, 2026

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults
05:26

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults

Published on: October 25, 2024

Principles for high-quality, high-value testing.

Michael Power1, Greg Fell, Michael Wright

  • 1Pharmacy Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK. Michael.Power@NUTH.NHS.UK

Evidence-Based Medicine
|June 29, 2012
PubMed
Summary
This summary is machine-generated.

Doctors identified over 120 essential lab tests and procedures. To improve diagnostic practices, a list of 10 core principles for high-quality, high-value testing was developed, emphasizing evidence-based and patient-centered approaches.

Related Experiment Videos

Last Updated: May 21, 2026

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults
05:26

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults

Published on: October 25, 2024

Area of Science:

  • Medical Diagnostics
  • Healthcare Quality Improvement

Background:

  • A survey of physicians in two NHS hospitals revealed over 120 laboratory tests, imaging investigations, and investigational procedures deemed not overused.
  • Physicians frequently suggested enhanced training as a means to optimize testing practices.

Purpose of the Study:

  • To develop a framework for high-quality, high-value diagnostic testing.
  • To create a list of core principles to guide clinical decision-making in test ordering.
  • To provide a reference source for training healthcare professionals on appropriate test utilization.

Main Methods:

  • Survey of doctors in two large NHS hospitals to identify non-overused tests and procedures.
  • Analysis of survey feedback to identify common themes and training needs.
  • Development of a list of core principles based on survey findings and best practices in diagnostic testing.

Main Results:

  • Identification of over 120 laboratory tests, imaging investigations, and investigational procedures considered appropriately used by clinicians.
  • A consensus among surveyed doctors that increased training is necessary for optimal test selection and interpretation.
  • Formulation of 10 core principles for high-quality, high-value testing, covering evidence-based practice, efficiency, value, overdiagnosis awareness, and cognitive biases.

Conclusions:

  • The developed list of 10 core principles serves as a valuable framework for training and a reference for improving diagnostic testing practices.
  • Adherence to these principles can enhance the quality and value of laboratory tests, imaging, and investigational procedures.
  • Emphasizing evidence-based practice, patient-centered care, and awareness of cognitive biases is crucial for appropriate test utilization in healthcare settings.