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ZENODO
Software . 2025
License: CC BY NC
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY NC
Data sources: Datacite
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QC Failure Case Study – Clinical Chemistry Scenario Trainer

Authors: Price, Claire Louise;

QC Failure Case Study – Clinical Chemistry Scenario Trainer

Abstract

About This Release This marks the first official release of the QC Failure Case Study, a scenario-based interactive training tool designed to simulate quality control (QC) challenges in a clinical chemistry laboratory. The tool places learners in a realistic situation involving internal QC failure, guiding them through data interpretation, potential causes, and decision-making steps in reporting patient results. Educational Goals Identify and interpret QC failure patterns Explore technical and clinical causes of lab errors Make decisions about result reporting Reinforce lab quality assurance concepts Develop clinical judgment and accountability Features Interactive case study with MCQ-based decisions Data interpretation focused on common lab parameters Structured logic and reasoning steps Ideal for students, educators, and laboratory professionals License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Use and adapt freely for non-commercial educational purposes with attribution. 🔗 Full License Details

If you use this educational tool in teaching, assessment, or training, please cite it using the metadata below.

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United Kingdom
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average