Specimen tracking
Use barcode-driven accessioning and defined queues to track specimens from arrival through testing, review, and release.
Laboratory information system
SparkLIS
Enterprise laboratory information software for toxicology, blood chemistry, and molecular diagnostics—from specimen intake through reviewed result delivery.
Capabilities
Built for the work your laboratory performs
Instrument integration
Plan bidirectional or unidirectional interfaces to reduce transcription, bring results into the workflow, and support operational traceability.
Result delivery
Configure delivery for the channels clients use, including supported HL7 interfaces, portals, and other approved methods.
Security & auditability
Support controlled access, workflow histories, audit trails, and deployment practices appropriate to sensitive laboratory operations.
Workflow fit
Designed around specialty requirements
Toxicology
Support screening and confirmation workflows, pain-management panels, and chain-of-custody requirements.
Blood chemistry
Organize routine chemistry testing such as metabolic panels, lipid profiles, and thyroid workflows.
Molecular diagnostics
Coordinate PCR-based tests, respiratory panels, plate-oriented work, and related result workflows.
Who it serves
For clinical laboratories with connected workflows
SparkLIS is intended for laboratories that need a central operational system spanning accessioning, testing, interfaces, review, and client delivery.
What is SparkLIS?
SparkLIS is Lab Dynamo’s laboratory information system for toxicology, blood chemistry, and molecular diagnostic operations.
Does SparkLIS connect to laboratory instruments?
Instrument requirements are reviewed during discovery. Interface scope depends on each analyzer, protocol, workflow, and validation need.
Can SparkLIS deliver results through HL7?
HL7 and other delivery methods may be included when supported by the receiving system and project scope.
Is SparkLIS a replacement for every existing laboratory system?
That depends on the laboratory. Discovery identifies which workflows SparkLIS should own and which systems should remain connected.
See SparkLIS in action
A useful demonstration starts with your testing menu, current systems, daily volume, reporting needs, and implementation goals.