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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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SURVEY OF MEDICAL PERSONNEL AIMED AT IDENTIFYING SIGNIFICANT FACTORS IN THE IMPLEMENTATION OF LIS IN MEDICAL LABORATORIES

Authors: Khegay O.; Beissegul A.; Kuatbayeva A.;

SURVEY OF MEDICAL PERSONNEL AIMED AT IDENTIFYING SIGNIFICANT FACTORS IN THE IMPLEMENTATION OF LIS IN MEDICAL LABORATORIES

Abstract

Modern laboratories are almost universally implementing laboratory information systems (LIS) that integrate with automatic and semi-automatic analyzers. This integration enables automatic data exchange between equipment and LIS, which significantly increases laboratory productivity and optimizes staff workflows. Laboratory information systems have automation mechanisms—digital sample registration, barcoding, sample routing, and automated notifications—that allow the monitoring of preanalytical discrepancies to be integrated directly into the laboratory workflow, which can help reduce the risk of human error and speed up data processing.

Keywords

Automation, medical laboratories, LIS, laboratory information system, healthcare management, automation in medical laboratories

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green