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

Microcomputer assisted hematology quality control using a modified average of normals program

T S Talamo, F J Losos, W D Gebhardt

    American Journal of Clinical Pathology
    |November 1, 1981
    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

    Obstruction of the pancreatic duct by a granular cell tumor.

    Digestive diseases and sciences·1988
    Same author

    Microcomputer-assisted interpretative reporting of sequential cardiac profile data.

    American journal of clinical pathology·1986
    Same author

    Celiac sprue complicated by lymphoma presenting with multiple gastric ulcers.

    Gastroenterology·1986
    Same author

    Fatal bacterial endocarditis as a complication of permanent indwelling catheters. Report of two cases.

    The American journal of medicine·1986
    Same author

    Secondary pulmonary alveolar proteinosis occurring in two patients with acquired immune deficiency syndrome.

    The American journal of medicine·1986
    Same author

    Devastating scalp infections.

    The American journal of emergency medicine·1986
    Same journal

    Communication patterns among surgical pathologists: a retrospective review of ideal strategies in a tertiary care setting.

    American journal of clinical pathology·2026
    Same journal

    Invasive urothelial carcinoma in association with surface low-grade papillary urothelial carcinoma: clinical and pathologic insights from a rare entity.

    American journal of clinical pathology·2026
    Same journal

    CEACAM1 expression by immunohistochemistry in B-cell lymphomas and plasma cell myeloma.

    American journal of clinical pathology·2026
    Same journal

    Comprehensive multicriteria life cycle assessment of biopsy processing in a surgical pathology department.

    American journal of clinical pathology·2026
    Same journal

    Prognostic significance of Myb protein and its downstream target genes in lacrimal gland adenoid cystic carcinoma.

    American journal of clinical pathology·2026
    Same journal

    Mismatch repair protein "nonclassic expression loss" pattern in colorectal cancer: an important staining pattern that is not well understood.

    American journal of clinical pathology·2026
    See all related articles

    A new microcomputer program analyzes clinical hematology data to detect errors. This system enhances laboratory quality control and reduces the need for costly control materials.

    Area of Science:

    • Clinical laboratory science
    • Medical diagnostics
    • Biostatistics

    Background:

    • Clinical hematology laboratories generate large volumes of patient data daily.
    • Accurate monitoring of laboratory test results is crucial for patient care.
    • Traditional error detection methods can be labor-intensive and less sensitive.

    Purpose of the Study:

    • To develop and evaluate a microcomputer-based program for analyzing hematology data.
    • To monitor for random and systematic errors in clinical laboratory testing.
    • To improve the efficiency and sensitivity of laboratory quality control.

    Main Methods:

    • Implemented a modified "average of normals" method for data analysis.
    • Utilized a microcomputer program for daily input and statistical calculation of hematology parameters.

    Related Experiment Videos

  • Incorporated cumulative sum, Trigg's tracking algorithm, and analysis of variance.
  • Sorted data by sex for sex-specific error detection.

    • Main Results:

    • The system automatically calculates daily mean, standard deviation, standard error index, and F-ratio.
    • Significant deviations from target values are automatically flagged.
    • The statistical analysis proved sensitive in detecting random and systematic errors.
    • Reduced the frequency of using expensive commercial control materials.

    Conclusions:

    • The developed program package offers an efficient method for monitoring laboratory data quality.
    • This system enhances the detection of analytical errors in clinical hematology.
    • The program contributes to cost savings by reducing reliance on commercial controls.