Genetic test processing
Ingest supported testing data, apply configured variant and allele logic, and organize phenotype interpretation.
Pharmacogenomics reporting
SparkPGx
A configurable pharmacogenomics platform for processing genetic test results, interpreting drug-gene relationships, and producing actionable reports for clinical use.
Capabilities
Built for the work your laboratory performs
Medication reports
Generate provider-facing reports that connect a patient’s genetic findings with configured medication guidance and supporting context.
Configurable knowledge
Manage gene panels, allele definitions, clinical guidance, terminology, and report presentation according to laboratory requirements.
Secure handling
Support access controls, auditability, and protected deployment patterns for sensitive genomic and clinical information.
Workflow fit
Designed around specialty requirements
Custom gene panels
Configure targeted or broad panels around the laboratory’s testing scope and clinical service lines.
Clinical guidance
Map interpretations to CPIC, DPWG, or laboratory-approved internal guidance as the project requires.
Connected delivery
Plan supported HL7, FHIR, portal, PDF, or structured-data delivery for downstream clinical workflows.
Who it serves
For laboratories and precision-medicine programs
SparkPGx serves laboratories, prescribers, pharmacists, and health systems that need structured pharmacogenomic interpretation and reporting.
What is SparkPGx?
SparkPGx is Lab Dynamo’s platform for pharmacogenomics result processing, interpretation, and reporting.
Can a laboratory configure its own gene panels?
Yes. Panel scope and related allele or interpretation logic can be configured around the laboratory’s validated testing service.
Does SparkPGx provide medication recommendations?
SparkPGx can present configured pharmacogenomic guidance. Clinical content, governance, and final use remain subject to the laboratory’s validated process and professional review.
Can SparkPGx integrate with an EHR?
Supported HL7 or FHIR interfaces can be evaluated according to the receiving system, data requirements, and project scope.
See SparkPGx in action
A useful demonstration starts with your testing menu, current systems, daily volume, reporting needs, and implementation goals.