Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

177
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...
177
Quality Control01:05

Quality Control

206
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.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
206
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

151
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,...
151
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
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...
6.3K
The R Chart01:02

The R Chart

110
In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
110
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

2.7K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Incidence and risk factor profile for subcutaneous fat necrosis among newborns undergoing therapeutic hypothermia: a multi-center regional cohort.

Journal of perinatology : official journal of the California Perinatal Association·2026
Same author

Outcomes of vertebral column resection in rigid, severe adult and pediatric spinal deformities.

Journal of craniovertebral junction & spine·2026
Same author

Quality as an organizational strategy: building a system of improvement.

Frontiers in health services·2026
Same author

Compressing neonatal-perinatal medicine fellowship training: a critical appraisal of the American Board of Pediatrics proposed 2-year pathway.

Journal of perinatology : official journal of the California Perinatal Association·2026
Same author

Horner Syndrome Following an Upper Thoracic Vertebral Column Resection for Congenital Scoliosis: A Case Report.

JBJS case connector·2026
Same author

Analysis of Success Versus Poor Realignment in Patients with Cervical Deformity: In-Construct Angles Provide Novel Targets for Correction.

Spine·2026

Related Experiment Video

Updated: Jul 30, 2025

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography
09:31

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography

Published on: January 27, 2023

1.0K

Challenging Cases in Statistical Process Control for Quality Improvement in Neonatal Intensive Care.

Munish Gupta1, Lloyd P Provost2, Heather C Kaplan3

  • 1Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.

Clinics in Perinatology
|May 18, 2023
PubMed
Summary
This summary is machine-generated.

Statistical process control (SPC) is key for quality improvement (QI) using time-series data. This review covers special situations and modified SPC chart approaches for healthcare practitioners.

Keywords:
Control chartQuality improvementQuality improvement methodsStatistical process control

More Related Videos

A Controlled Mouse Model for Neonatal Polymicrobial Sepsis
14:54

A Controlled Mouse Model for Neonatal Polymicrobial Sepsis

Published on: January 27, 2019

11.1K
Biochemical Measurement of Neonatal Hypoxia
13:13

Biochemical Measurement of Neonatal Hypoxia

Published on: August 24, 2011

14.1K

Related Experiment Videos

Last Updated: Jul 30, 2025

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography
09:31

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography

Published on: January 27, 2023

1.0K
A Controlled Mouse Model for Neonatal Polymicrobial Sepsis
14:54

A Controlled Mouse Model for Neonatal Polymicrobial Sepsis

Published on: January 27, 2019

11.1K
Biochemical Measurement of Neonatal Hypoxia
13:13

Biochemical Measurement of Neonatal Hypoxia

Published on: August 24, 2011

14.1K

Area of Science:

  • Healthcare Quality Improvement
  • Data Analysis
  • Statistical Methods

Background:

  • Effective quality improvement (QI) relies on analyzing time-series data.
  • Statistical process control (SPC) is a common method for this analysis in healthcare.

Purpose of the Study:

  • To review situations requiring special attention in SPC chart application.
  • To provide examples of modified SPC approaches for common challenges.

Main Methods:

  • Review of common SPC challenges in healthcare QI.
  • Examples of adapted SPC techniques for specific data characteristics and scenarios.

Main Results:

  • Identified key situations: skewed data, autocorrelation, small persistent changes, confounders, and workload measures.
  • Presented modified SPC chart strategies for each identified situation.

Conclusions:

  • Awareness of these special situations is crucial for QI practitioners using SPC.
  • Modified SPC approaches can enhance the effectiveness of quality improvement initiatives in healthcare.