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Related Experiment Video

Updated: Oct 22, 2025

Remote Laboratory Management: Respiratory Virus Diagnostics

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

Preparing Laboratories for Interconnected Health Care.

Andreas Bietenbeck¹, Thomas Streichert²

¹Institut für Laboratoriumsmedizin, Medizinische Mikrobiologie und Technische Hygiene, München Klinik, 80804 Munich, Germany.

Diagnostics (Basel, Switzerland)

|August 27, 2021

Summary

To improve patient care, laboratory medicine requires electronic reports that are machine-readable and interpretable. Standardized terminologies and interpretive comments are crucial for semantic interoperability and accurate data exchange in healthcare.

Keywords:

LOINC NPU SNOMED-CT UCUM interconnected healthcare

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Area of Science:

Medical Informatics
Clinical Laboratory Science

Background:

The healthcare system is increasingly interconnected, highlighting the need for efficient laboratory medicine.
Effective diagnosis and treatment rely on accurate and timely laboratory results.

Purpose of the Study:

To outline essential changes and potential challenges for laboratory medicine in an interconnected healthcare system.
To emphasize the technical, content, and organizational requirements for enhanced laboratory data utilization.

Main Methods:

Discusses the necessity of machine-readable and interpretable electronic laboratory reports.
Highlights the role of standardized terminologies like Logical Observation Identifiers Names and Codes (LOINC), Nomenclature for Properties and Units (NPU), Unified Code for Units of Measure (UCUM), and SNOMED-CT for semantic interoperability.
Stresses the importance of attaching interpretive comments to measurement results, especially concerning measurement uncertainty.

Main Results:

Electronic laboratory reports must be machine-readable and interpretable for effective healthcare integration.
Standardized terminologies are key to achieving semantic interoperability.
Traceable standards and reference materials are vital for knowledge transfer and consistent interpretation across laboratories.

Conclusions:

Laboratories should evolve into data hubs, integrating patient information with sample analysis.
Enriching results with patient-specific interpretive comments unlocks the full potential of laboratory medicine.
Technical, content, and organizational advancements are necessary for transforming laboratory medicine's role in healthcare.