Article

Quantifying biometrology operator data analysis subjectivity within flow cytometry using measurement uncertainty principles

2019-01-01

Abstract excerpt

A recent evaluation of medical error has shown it to be the third leading cause of death in the US, following heart disease and cancer. Better reporting and decision making could tackle this, but ultimately more accurate and precise measurement, with correct interpretation could make a significant difference to this unnecessary statistic. Clinical pathology measurement platforms are complex, requiring significant...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ad7ccfe6-8b17-5b10-bcb9-49bd2d40937a
DOI: 10.26174/thesis.lboro.10079174.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Quantifying biometrology operator data analysis subjectivity within flow cytometry using measurement uncertainty principlesDOI 10.26174/thesis.lboro.10079174.v1Read

Reproducible and Efficient Phenotyping for Cell Therapy Manufacturing Using the Accellix Automated Flow Cytometer Platform.Semantic proximity Read

Artificial Intelligence and Failure Mode and Effect Analysis Framework to Reduce Diagnostic Errors in PathologySemantic proximity Read

Local manufacturing processes contribute to variability in human mesenchymal stromal cell expansion while growth media supplements contribute to variability in gene expression and cell function: a Biomedical Excellence for Safer Transfusion (BEST) collaborative studySemantic proximity Read

[Diagnostic variability versus diagnostic errors in cytology].Semantic proximity Read

Measurement Uncertainty and Flagging Performance Evaluation of Sysmex XN-1500 Analyzer in an Accredited Laboratory in West AfricaSemantic proximity Read

Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMedSemantic proximity Read

Failure Mode and Effects Analysis (FMEA) integrating quality indicators for risk assessment of the total testing process in human papillomavirus genotyping testing: a proactive risk analysis model for molecular diagnostics.Semantic proximity Read

Communicating Regulatory High Throughput Sequencing Data Using BioCompute ObjectsSemantic proximity Read

Efforts to enhance reproducibility in a human performance research projectSemantic proximity Read

Measuring and Controlling Medical Record Abstraction (MRA) Error Rates in an Observational StudySemantic proximity Read

Identification of Factors Contributing to Variability in a Blood-Based Gene Expression TestSemantic proximity Read

Exploratory analysis and error modeling of a sequencing technologySemantic proximity Read