These gaps show up regardless of what a lab tests, and they compound across the lifecycle rather than sitting in one system.
Requisition Data Re-Entered by Hand
A faxed or paper requisition gets typed into the LIS by a technician, and every missed field or misread handwriting becomes a downstream problem before testing even starts.
Orders That Reach the Lab Incomplete or Duplicated
Without a validation layer, an incomplete order sits in a queue until someone notices it, and the same order submitted twice during a retry becomes two accessions instead of one.
No Visibility Once a Sample Is Mid-Process
In the past, staff had no real-time view of where a sample sits in the instrument queue or pipeline run, so a stalled process was caught by a deadline, not a dashboard.
Reports Built and Delivered by Hand
A result gets copied from an interpretation tool into a report template, then sent separately from the structured data going to the EHR, doubling the work and the chance of a mismatch.
Every diagnostic lab runs some version of this lifecycle. What changes by lab type is what happens at stage three and which named component sits behind each one, covered next.
Requisition and Order Intake
Referring-provider paperwork, typed, handwritten, or checked boxes, gets extracted into structured order data automatically, with the source document kept in a full audit log instead of being retyped by hand.
Order Validation and System Integration
Every incoming order is checked for completeness and duplication before it reaches the LIS or LIMS, connected to the EHR and billing system over HL7 v2 and FHIR R4 so the order, the record, and the claim stay in sync.
Orders arrive from the EHR as HL7 v2 ORM/OML messages or FHIR R4 ServiceRequest resources. Billing data is passed to your RCM for X12 837 claim generation.
Test Processing
What happens here depends on the lab. A molecular or genetic-testing lab runs the sample through a sequencing and bioinformatics pipeline; a chemistry, toxicology, or pathology lab runs it through an analyzer. Either way, this is where turnaround time actually gets consumed, and where a lab needs execution status, not just a final result.
Interpretation and Review
Raw output becomes a clinical finding here. For molecular results, that means structured variant review against a classification framework; for other lab types, it means a qualified reviewer checking the result against reference ranges and QC status before it clears for reporting.
Report Generation
Approved findings populate a report template automatically, by assay type and ordering provider, with version history and an audit trail on every issued report, instead of a manual copy from the interpretation tool.
Delivery to the EHR and Referring Provider
The report reaches the ordering provider's EHR as a structured HL7 v2 ORU message or FHIR R4 DiagnosticReport resource at the same time the PDF goes out, closing the loop on the same order that started the process.
SmartReq, Intergenix, and ReportStudio work the same way for any diagnostic lab. StrixFlow, Varion, and GENVAR are purpose-built for the molecular and genomic pipeline and don't apply to a chemistry or toxicology lab's instrument-driven process.
Cross-lab-type components
SmartReq
SmartReq extracts printed text, handwriting, and checked-box data from referring-provider requisitions, with the source document retained in a full audit log.
Intergenix
Intergenix validates every order for completeness and duplication before it reaches the LIMS, and keeps the LIMS, EHR, and billing system synchronized.
ReportStudio
ReportStudio builds clinical reports from configurable, assay-specific templates with version history and auditable release records.
Molecular and genomic pipeline components
StrixFlow
StrixFlow monitors pipeline execution, operational status, and per-sample cost across Nextflow DSL2, Snakemake, WDL, and CWL workflows.
Varion
Varion is an AI-assisted tertiary analysis platform supporting germline variant classification under ACMG/AMP criteria and for somatic oncology AMP/ASCO/CAP tiering aligned variant review, with qualified human review required before release.
GENVAR
GENVAR is a variant evidence and knowledge-base repository with AI-assisted retrieval across interpretation history.
If your lab runs molecular or genetic testing, the pipeline, interpretation, and reporting stages connect as one continuous system. Our genomics solutions page walks all six components in full technical depth.
Every lab type runs some form of this lifecycle. How much of it our named components cover depends on what the lab actually tests.
Molecular diagnostics and genetic-testing labs: all six stages connect end to end, intake through sequencing, pipeline execution, variant interpretation, and reporting, as one continuous system.
Clinical chemistry, toxicology, and pathology labs: intake, order validation, and reporting automate the same way; test processing runs through the lab's own analyzers and instrument interfaces rather than a bioinformatics pipeline.
Reference laboratories and multi-site networks: the same intake and validation layer scales across more than one referring EHR and billing system at once.
Labs already running a named LIS or LIMS platform: order validation and integration connect into the existing system rather than replacing it.