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Related Concept Videos

Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
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Related Experiment Video

Updated: May 12, 2026

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

Implementing self sustained quality control procedures in a clinical laboratory.

Roshan Khatri1, Sanjay K C, Prabodh Shrestha

  • 1College of Medical Sciences Teaching Hospital, Bharatpur, Chitwan, Nepal.

JNMA; Journal of the Nepal Medical Association
|April 18, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective quality control method using self-prepared control serum for clinical laboratories. This approach enhances the reliability of diagnostic test reports with minimal resources.

Keywords:
Levey-Jennings charts, pooled sera, quality control, Westgard Rule.

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Last Updated: May 12, 2026

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

Area of Science:

  • Clinical Laboratory Science
  • Biochemistry
  • Quality Management Systems

Background:

  • Quality control is crucial for accurate clinical laboratory diagnostics and patient care.
  • Existing quality control methods can be technically demanding, time-consuming, and expensive, particularly for laboratories in developing countries.
  • There is a need for accessible and affordable quality control solutions in resource-limited settings.

Purpose of the Study:

  • To present a simplified internal quality control procedure using self-prepared control serum.
  • To demonstrate the use of basic statistical tools for quality assurance in a clinical laboratory setting.
  • To offer a cost-effective alternative to commercially available quality control materials.

Main Methods:

  • Preparation of stabilized liquid quality control serum from pooled human sera following established guidelines.
  • Daily internal quality assessment of 12 routine biochemical parameters using the self-prepared control serum.
  • Analysis of results using Levey-Jennings charts and standard quality control rules over a one-month period.

Main Results:

  • Mean analyte levels in the self-prepared control serum were within normal physiological ranges.
  • Daily evaluation and plotting on control charts allowed for the identification of systematic and random errors.
  • Prompt corrective actions were implemented, preventing the release of erroneous patient reports.

Conclusions:

  • A simple, low-cost internal quality control procedure using self-prepared control serum is feasible for clinical laboratories.
  • This method requires minimal technology and expertise, making it suitable for resource-limited settings.
  • The procedure effectively improves the reliability and validity of laboratory test reports, enhancing overall healthcare quality.