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 Experiment Videos

Patient result validation services

G Boran1, P Given, R O'Moore

  • 1Department of Pathology, Royal Hull Hospitals NHS Trust, UK.

Computer Methods and Programs in Biomedicine
|July 1, 1996
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The potential impact of post-COVID symptoms in the healthcare sector.

Occupational medicine (Oxford, England)·2021
Same author

Sweat Testing in Ireland

Irish medical journal·2018
Same author

Measurement of selected androgens using liquid chromatography-tandem mass spectrometry in reproductive-age women with Type 1 diabetes.

Human reproduction (Oxford, England)·2018
Same author

Does thyrotoxic periodic paralysis have a genetic predisposition? A case report.

Annals of clinical biochemistry·2018
Same author

Endocrinopathies and renal outcomes in lithium therapy: impact of lithium toxicity.

QJM : monthly journal of the Association of Physicians·2018
Same author

Addressing Inpatient Glycaemic Control with an Inpatient Glucometry Alert System.

International journal of endocrinology·2015
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
See all related articles

This study introduces a new patient results validation module for laboratory quality assurance. It uses advanced, configurable checks to improve data accuracy and allow staff to focus on complex cases.

Area of Science:

  • Laboratory Medicine
  • Clinical Chemistry
  • Health Informatics

Background:

  • Patient result validation is critical for laboratory quality assurance.
  • Automated systems are emerging to streamline data validation.
  • Senior staff currently handle most validation tasks, including complex cases.

Purpose of the Study:

  • To describe a novel patient results validation service module.
  • To enhance data validation in advanced instrument workstations.
  • To support laboratory quality assurance through intelligent automation.

Main Methods:

  • Development of a validation service module within the OpenLabs project.
  • Implementation of knowledge-based techniques for advanced validation.
  • Integration of configurable procedures like internal consistency and delta checks.

Related Experiment Videos

Main Results:

  • The module offers advanced validation procedures beyond standard checks.
  • It includes internal consistency, delta checks, and specific error detection.
  • The system allows for local configuration of validation rules.

Conclusions:

  • The developed module enhances patient result validation capabilities.
  • It provides advanced, configurable checks for improved laboratory quality assurance.
  • The system enables senior staff to concentrate on critical and problematic results.