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CLSI AUTO04

Laboratory Automation: Systems Operational Requirements, Characteristics, and Information Elements, 1st Edition

This document describes operational requirements, characteristics, and required information elements of clinical laboratory automation systems. This information is used to determine the status of a clinical specimen within the clinical laboratory automation system, as well as the status of the actual components of the clinical laboratory automation system.

This document is available in electronic format only.

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Details

Chairholder: Russell H. Tomar, M.D.

Date of Publication: March 20, 2001

Order Code PDF: CLSI AUTO04AE
ISBN Number: 1-56238-431-7

Order Code Print: print not available

Edition: First

Pages: 68

CLSI AUTO04 Additional Details

If interested in ordering larger quantities of this document in print, please contact us here.

The U.S. Food and Drug Administration (FDA) has evaluated and recognized this approved-level consensus standard for use in satisfying a regulatory requirement.

This archived document is no longer being reviewed through the CLSI Consensus Document Development Process. However, this document is technically valid as of January 2017. Because of its value to the laboratory community, it is being retained in CLSI’s library.

CLSI AUTO04 Abstract

CLSI document AUTO04-A—Laboratory Automation: Systems Operational Requirements, Characteristics, and Information Elements; Approved Standard defines operational requirements, characteristics, and required information elements of clinical laboratory automation systems to support continuous, uninterrupted operation with appropriate human intervention. The standard is divided into two parts. The first part of this document was developed to serve as a standard describing elements which will facilitate the rapid determination of the status of a clinical specimen within a clinical laboratory automation system. The second part of this document was developed to serve as a standard describing elements which will facilitate the rapid determination of the status of the components of a clinical laboratory automation system.