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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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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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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.
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When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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Developing consensus for definitions of key veterinary-specific quality improvement (QI) terms using an eDelphi-study

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This study established consensus on veterinary quality improvement (QI) terms for UK practices. Plain language definitions were developed to aid QI implementation in veterinary healthcare.

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Area of Science:

  • Veterinary Medicine
  • Healthcare Quality Improvement
  • Professional Consensus Building

Background:

  • Quality Improvement (QI) methods are crucial for enhancing services and products.
  • Common language facilitates successful QI implementation in human healthcare.
  • This study aimed to define veterinary-specific terms for quality care and QI in UK practices.

Framework:

  • A modified four-round eDelphi process was employed.
  • Fifty UK veterinary practice stakeholders participated.
  • Consensus required >70% agreement; terms with <15% selection were eliminated.

Implementation:

  • Thirty-one panellists completed the consensus rounds.
  • Ten out of fourteen terms reached consensus.
  • Four terms remained unresolved, indicating a need for further research.

Implications:

  • Consensus on definitions supports QI implementation in veterinary settings.
  • Stakeholder-refined, plain English definitions are key to successful QI.
  • Further research is needed to fully integrate QI principles in veterinary healthcare, mirroring human healthcare advancements.