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

Modular robotic workcell for coagulation analysis.

S Graves1, B Holman, R A Felder

  • 1Medical Automation Research Center, Box 800168, University of Virginia Health System, Charlottesville, VA 22908, USA.

Clinical Chemistry
|May 5, 2000
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

Highlighting the characteristics of TB disease in older people.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2023
Same author

Transient depletion of macrophages alters local inflammatory response at the site of disc herniation in a transgenic mouse model.

Osteoarthritis and cartilage·2023
Same author

The burden of end-stage osteoarthritis in Australia: a population-based study on the incidence of total knee replacement attributable to overweight/obesity.

Osteoarthritis and cartilage·2021
Same author

A decrease in tuberculosis evaluations and diagnoses during the COVID-19 pandemic.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2020
Same author

Q fever seroprevalence in Australia suggests one in twenty people have been exposed.

Epidemiology and infection·2020
Same author

Relationship of weight and obesity with the risk of knee and hip arthroplasty for osteoarthritis across different levels of physical performance: a prospective cohort study.

Scandinavian journal of rheumatology·2018
Same journal

Interlaboratory Comparison of a Glucagon and Oxyntomodulin Immuno-LC-MS/MS Assay: Implications for Diabetes Research.

Clinical chemistry·2026
Same journal

Comparison of Information-Dependent Acquisition and Sequential Window Acquisition of All Theoretical Mass Spectra for Untargeted Drug Testing on a Linear Ion Trap-Pulsing Quadrupole-Time of Flight Mass Spectrometer.

Clinical chemistry·2026
Same journal

Patterns of One-Year Change in HbA1c and Continuous Glucose Monitoring (CGM) Metrics in Older Adults with Type 2 Diabetes.

Clinical chemistry·2026
Same journal

TSH Pediatric Reference Intervals: Lack of CALIPER Applicability to US-Based Populations.

Clinical chemistry·2026
Same journal

Rapid Detection of Hemoglobinopathy Variants Using One-Step Library Preparation and Nanopore Sequencing.

Clinical chemistry·2026
Same journal

Editor's Note: Circulating Proteolytic Products of Carboxypeptidase N for Early Detection of Breast Cancer.

Clinical chemistry·2026
See all related articles

Modular automation significantly reduced preanalytical processing time for coagulation analysis, improving laboratory efficiency. This robotic system offers a more predictable workflow compared to manual methods.

Area of Science:

  • Clinical Diagnostics
  • Laboratory Automation
  • Robotics in Healthcare

Background:

  • Total laboratory automation (TLA) enhances lab efficiency and quality.
  • Modular automation presents a smaller, more cost-effective alternative to TLA.
  • A modular robotic preanalytical workcell for coagulation analysis was developed and clinically trialed.

Purpose of the Study:

  • To engineer and evaluate a modular robotic preanalytical workcell for coagulation testing.
  • To identify and address bottlenecks in manual preanalytical specimen processing.
  • To quantify the efficiency gains of modular automation in a clinical setting.

Main Methods:

  • Timing studies were conducted to assess manual preanalytical processing efficiency and identify bottlenecks.

Related Experiment Videos

  • A modular robotic workcell was designed to mitigate identified processing delays.
  • Specimen introduction into the workcell was designed to be flexible (manual, conveyor, or mobile robot).
  • Clinical trials included further timing studies to evaluate the automated system's performance.

    • Main Results:

    • Preanalytical processing time decreased from 18-107 minutes manually to 45-50 minutes with automation.
    • The system demonstrated potential for further efficiency gains with high-quality, prelabeled specimens.
    • Modular automation led to more consistent specimen processing times.

    Conclusions:

    • Modular automation offers a viable and efficient alternative to manual preanalytical processing for coagulation analysis.
    • The robotic workcell successfully reduced processing times and variability.
    • Further optimization is possible with improved specimen handling upstream.