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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...
Contaminants and Errors01:16

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...

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Related Experiment Video

Updated: Jun 10, 2026

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

[Statistical Process Control (SPC) can help prevent treatment errors without increasing costs in radiotherapy].

R Govindarajan1, E Llueguera, A Melero

  • 1Departamento de Operaciones e Innovación, ESADE, Barcelona, España. rajaram@certificadoiso9001.com

Revista De Calidad Asistencial : Organo De La Sociedad Espanola De Calidad Asistencial
|August 3, 2010
PubMed
Summary

Statistical Process Control (SPC) in radiotherapy improves patient setup accuracy. This method proactively identifies and corrects errors, preventing deviations and enhancing treatment consistency for all patients.

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Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
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Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Related Experiment Videos

Last Updated: Jun 10, 2026

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Improvement

Context:

  • Accurate patient positioning is critical in radiotherapy.
  • Variability in patient set-up can lead to treatment inaccuracies.
  • Existing monitoring methods may not proactively prevent errors.

Purpose:

  • To implement Statistical Process Control (SPC) for monitoring radiotherapy patient set-up.
  • To identify and eliminate root causes of set-up errors when process stability is lost.
  • To proactively prevent set-up errors in all treatment sessions.

Summary:

  • Radiotherapy set-up errors in medial-lateral, cranial-caudal, and anterior-posterior dimensions were measured.
  • Control limits were established, and real-time monitoring using control charts was performed.
  • When process instability was detected, treatment was interrupted, root causes identified, and corrective actions implemented.

Impact:

  • SPC effectively controls variability due to assignable causes, rather than patient-to-patient variations.
  • This method enables proactive error prevention across all treatment sessions for all patients.
  • The SPC protocol reduces control costs while enhancing treatment accuracy and safety.