Clinical Chemistry
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Clinical Chemistry 46: 772-777, 2000;
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Graves, S.
Right arrow Articles by Felder, R. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Graves, S.
Right arrow Articles by Felder, R. A.
Related Collections
Right arrow Laboratory Management
Right arrow Clinical Chemistry Forum
Right arrow Hemostasis and Thrombosis
Right arrow Automation and Analytical Techniques
(Clinical Chemistry. 2000;46:772-777.)
© 2000 American Association for Clinical Chemistry, Inc.


Articles

Modular Robotic Workcell for Coagulation Analysis

Sean Graves1, Bill Holman1 and Robin A. Felder1,a

1 Medical Automation Research Center, Box 800168, University of Virginia Health System, Charlottesville, VA 22908.
a Address correspondence to this author at: The University of Virginia, Department of Pathology, Box 800168, Medical Automation Research Center (MARC), Charlottesville, VA 22908. Fax 804-924-5718; e-mail rfelder{at}virginia.edu

Background: Total laboratory automation (TLA) has been shown to increase laboratory efficiency and quality. However, modular automation is smaller, requires less initial capital, and requires less planning than TLA. We engineered and performed clinical trials on a modular robotic preanalytical workcell for coagulation analysis.

Methods: Timing studies were used to quantify the efficiency of the manual processes and to identify areas in the processing of coagulation specimens where bottlenecks and long waiting periods were encountered. We then designed our modular robotic system to eliminate these bottlenecks. Our robotic modular workcell was engineered to allow a choice of specimen introduction manually, by conveyor, or by mobile robot. Additional timing studies were performed during clinical trials of the robotic system.

Results: Prior to automation, the time required for preanalytical processing time was 18–107 min; after automation, it was 45–50 min. Additional improvements in workcell efficiency could be realized when high quality, prelabeled specimens were introduced into the system.

Conclusion: Compared with manual methods, modular automation provides more predictable variation in specimen processing.




The following articles in journals at HighWire Press have cited this article:


Home page
J. Clin. Pathol.Home page
P J Twomey, A S Wierzbicki, and T M Reynolds
Chemical pathology and the new contract for GPs
J. Clin. Pathol., October 1, 2004; 57(10): 1022 - 1024.
[Full Text] [PDF]


Home page
Clin. Chem.Home page
J. W. Holman, T. E. Mifflin, R. A. Felder, and L. M. Demers
Evaluation of an Automated Preanalytical Robotic Workstation at Two Academic Health Centers
Clin. Chem., March 1, 2002; 48(3): 540 - 548.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2000 by the American Association for Clinical Chemistry.