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Related Concept Videos

Quality Assurance01:19

Quality Assurance

4.0K
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

Quality Control

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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.
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Data Validation01:15

Data Validation

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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.
Key parameters for method validation include:
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Data Validation01:03

Data Validation

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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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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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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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Verification of a quality management theory: using a delphi study.

Ali Mohammad Mosadeghrad1

  • 1Health Management and Economics Research Centre, School of Health Management and Information Sciences, Tehran University of Medical Sciences, Tehran, Iran.

International Journal of Health Policy and Management
|March 6, 2014
PubMed
Summary

This study verified the Strategic Collaborative Quality Management (SCQM) model for healthcare organizations. Proper implementation of this quality management model is key to achieving business excellence in healthcare.

Keywords:
Healthcare OrganisationsModellingStrategic Quality Management

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Area of Science:

  • Healthcare Management
  • Quality Improvement
  • Organizational Science

Background:

  • A Strategic Collaborative Quality Management (SCQM) model was developed using literature reviews, surveys, interviews, and expert Delphi studies.
  • The SCQM model is designed for quality management within healthcare organizations.

Purpose of the Study:

  • To verify the applicability and effectiveness of the developed SCQM model.
  • To establish a context-specific quality management framework for healthcare.

Main Methods:

  • The SCQM model was refined through feedback from thirty quality management experts using the Delphi method.
  • A comprehensive guidebook, including a roadmap and performance metrics, was created for model implementation.

Main Results:

  • A context-specific quality management model tailored for healthcare organizations was successfully developed.
  • A set of practical guidelines for implementing the SCQM model in healthcare settings was produced.

Conclusions:

  • Effective development and implementation of a quality management model are crucial for healthcare organizations.
  • The SCQM model provides a pathway for healthcare organizations to achieve business excellence through strategic quality management.