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Quality Assurance

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...

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

Updated: Jun 2, 2026

Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition

Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition

Published on: January 5, 2024

Global quality imaging: improvement actions.

Lawrence S Lau¹, Maria R Pérez, Kimberly E Applegate

¹International Radiology Quality Network, Balwyn, Australia. lawrence.lau@pobox.com

Journal of the American College of Radiology : JACR

|May 3, 2011

Summary

This summary is machine-generated.

Global challenges threaten quality medical imaging. Collaboration among stakeholders is crucial for implementing system-based strategies to ensure patient safety and sustainable imaging practices.

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Area of Science:

Medical Imaging
Healthcare Management
Patient Safety

Background:

Emerging global issues like workforce shortages, increased workloads, and budget constraints pose risks to quality medical imaging.
These challenges necessitate a collaborative approach among imaging stakeholders to maintain patient safety and care quality.

Purpose of the Study:

To outline strategies and actions required to address emerging issues impacting quality medical imaging.
To emphasize the importance of stakeholder collaboration for achieving sustainable improvements in imaging practices.

Main Methods:

The study describes improvement actions categorized under five key strategies: research, awareness promotion, education and training, infrastructure development, and policy implementation.
These actions support three core quality measures: justification of procedures, optimization of radiation dose, and error prevention throughout the patient journey.

Main Results:

A multi-faceted approach involving research, education, policy, and infrastructure is required to mitigate risks to quality imaging.
System-based, cost-effective actions are essential for long-term improvement and a sustainable future for medical imaging.

Conclusions:

Stakeholder collaboration and synergy are vital for developing and implementing effective, sustainable solutions in medical imaging.
Addressing workforce, workload, and budget challenges requires integrated strategies to ensure the future of quality imaging services.