Lab Informatics Glossary
Clear definitions of laboratory information systems terminology. Understand LIMS, LIS, HL7, FHIR, and other key concepts explained by lab informatics experts.
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Lab informatics refers to the application of information technology and data management systems to laboratory operations. This includes software like LIMS and LIS, integration standards like HL7 and FHIR, and regulatory frameworks like CLIA that govern laboratory quality.
Browse our glossary below to learn key lab informatics terminology.
Browse Terms (28)
Comprehensive guide to Laboratory Information Management Systems - features, benefits, implementation
Everything clinical labs need to know about Laboratory Information Systems
Software that manages samples, data, and laboratory workflows
Clinical lab software focused on patient data and test results
International standards for healthcare data exchange between systems
Modern healthcare API standard using REST and JSON/XML
Time from specimen collection to result reporting
Software that bridges instruments and LIS/LIMS for auto-verification
U.S. federal regulations for laboratory quality standards
Gold standard accreditation program for clinical laboratories
Process of receiving, logging, and preparing specimens for testing
Unique identifier assigned to each sample for tracking and traceability
Monitoring samples throughout the laboratory workflow
Technology to perform lab tasks with minimal human intervention
Connection that transmits test results to external systems
Connection between lab instruments and LIMS for automated data transfer
Data analysis for operational, quality, and business insights
Connecting labs to EHR/EMR for orders and results
Meeting CLIA, CAP, state, and federal quality standards
Systematic approach to identify, investigate, and resolve quality issues
Process for documenting and resolving departures from standard procedures
Three-stage validation protocol for equipment and systems
Framework for ensuring data integrity in regulated environments
Ensuring accuracy, completeness, and reliability of data throughout its lifecycle
Grouping samples for simultaneous processing to improve efficiency
Official document certifying sample quality and test results
Program evaluating laboratory accuracy against peer laboratories
Statistical rules for detecting analytical errors in QC