Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Relative Risk01:12

Relative Risk

2.1K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.1K
Quality Control01:05

Quality Control

2.5K
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...
2.5K
Quality Assurance01:19

Quality Assurance

2.2K
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...
2.2K
Quality of Water01:19

Quality of Water

561
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
561
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.5K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.5K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.8K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Methylation-mediated regulation of tumor-suppressor function of the miR-379/656 (C14MC) cluster and its clinical utility in hepatocellular carcinoma.

BMC cancer·2026
Same author

Piperine as a modulator of cancer hallmarks: mechanistic insights and therapeutic potential.

Frontiers in oncology·2026
Same author

"Bridging the clinical, molecular and genetic perspectives on myocarditis in post-COVID-19 era".

International journal of cardiology. Cardiovascular risk and prevention·2026
Same author

Plasmid-borne multidrug resistance genes in environmental isolates from hospital effluent: Implications for resistance dissemination.

The Science of the total environment·2026
Same author

Immune-microbiota crosstalk in colorectal cancer: mechanistic pathways, biomarkers, and translational therapeutics.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2026
Same author

Targeting autophagy in Duchenne muscular dystrophy: mechanistic insights and emerging therapeutic strategies.

Journal of medical genetics·2025

Video Experimental Relacionado

Updated: Feb 4, 2026

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment
06:42

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Published on: July 22, 2019

7.1K

Mejora de la Calidad de Laboratorio Mediante la Gestión Integral de Riesgos y el Análisis de Procesos

Shobha C Ramachandra1, Venkatesha Madegowda1, Manish Kumar Pandey1

  • 1BiochemistryJSS Medical College.

Annals of clinical biochemistry
|February 2, 2026
PubMed
Resumen

La integración del Análisis Modal de Fallos y Efectos (AMFE) con métricas Sigma redujo eficazmente los errores de laboratorio, mejorando la seguridad del paciente. Este enfoque proporciona un marco sólido para la mejora continua de la calidad en laboratorios clínicos.

Palabras clave:
gestión de laboratoriométodos de laboratoriogarantía y control de calidad

Más Videos Relacionados

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

17.3K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

442

Videos de Experimentos Relacionados

Last Updated: Feb 4, 2026

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment
06:42

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Published on: July 22, 2019

7.1K
Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

17.3K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

442

Área de la Ciencia:

  • Ciencia de Laboratorio Clínico
  • Gestión de la Calidad en la Atención Médica
  • Diagnóstico Médico

Sus antecedentes:

  • Los errores de laboratorio impactan significativamente la seguridad del paciente y la toma de decisiones clínicas.
  • Los sistemas de calidad existentes tienen limitaciones para prevenir errores en los procesos de laboratorio.
  • Existe una investigación limitada sobre la integración del Análisis Modal de Fallos y Efectos (AMFE) con métricas Sigma para la evaluación de riesgos en laboratorio.

Objetivo del estudio:

  • Evaluar los errores de laboratorio utilizando un enfoque combinado de Análisis Modal de Fallos y Efectos (AMFE) y métricas Sigma.
  • Identificar y priorizar los modos de fallo dentro de un laboratorio de un hospital de atención terciaria acreditado por NABL.
  • Evaluar la eficacia de las acciones correctivas para reducir los errores de laboratorio y mejorar las métricas Sigma.

Principales métodos:

  • Un estudio observacional retrospectivo de 2,5 años que utiliza AMFE para identificar errores en el proceso total de pruebas.
  • Cálculo de las tasas de error trimestrales, conversión a defectos por millón (DPM) y expresión como métricas Sigma.
  • Números de priorización de riesgos (RPN) calculados trimestralmente para priorizar fallos, con comparación de los valores Sigma pre y post intervención.

Principales resultados:

  • Se identificaron veintitrés tipos de errores, siendo las muestras hemolizadas, las muestras coaguladas y la no notificación de valores críticos los que presentaron los números de priorización de riesgos más altos.
  • Se observaron reducciones significativas en las muestras hemolizadas (0,97 % a 0,49 %) y las muestras coaguladas (0,24 % a 0,06 %)).
  • Se observó una disminución en la no notificación de valores críticos (2,63 % a 2,18 %), aunque no fue estadísticamente significativa (p=0,065).

Conclusiones:

  • La integración de AMFE con métricas Sigma ofrece un marco potente para la identificación, priorización y reducción sistemática de los errores de laboratorio.
  • El monitoreo continuo y la implementación de acciones correctivas son cruciales para mantener las mejoras de la calidad del laboratorio y mejorar la seguridad del paciente.
  • Este enfoque combinado demuestra potencial para una gestión de riesgos sólida en entornos de laboratorio clínico.