Laboratory software for genetic and pharmacogenomic laboratories
Genetic and PGx testing produces interpretive reports, not values. The order, the consent, the documentation and the interpretation all have to travel together — through testing, through reporting and through the claim.
Where the workflow bites
- Data Processing03
- Results07
- Release08
- Billing09
What carries the weight
- Interpretive report generation
- Consent and document capture
- Review and sign-out workflow
What makes this laboratory type different
Genetic and PGx laboratories deliver a document, not a number. The report is the product, and the workflow around it — consent, documentation, interpretation, review, release — is where the operational work sits.
The report is the deliverable
Interpretation, gene-drug findings and recommendations have to render into a report a director will sign.
Consent and documentation
Consent and ordering documentation must be captured at intake and retrievable later.
Long, complex orders
Panels with many genes and many result components strain systems built for single analytes.
Medical necessity
Coverage depends on documentation that must be assembled before the claim, not after the denial.
GetLabServices is configured around this workflow — not adapted to it afterward.
What matters most for this workflow
The whole platform is available. These are the parts that carry the most weight for this laboratory type.
Interpretive report generation
Templated reports with interpretation blocks, gene-level detail, methodology and limitations.
Consent and document capture
Consent and supporting documentation attached to the order at intake and retained with it.
Review and sign-out workflow
Multi-step review before release, with a record of who reviewed and released each report.
Medical-necessity workflow
Diagnosis and documentation checks surfaced in the order workflow rather than discovered at billing.
Where this laboratory type feels the workflow most
Every stage applies. These are the ones worth looking at closely for your operating model.
03Data Processing
Patient, provider, insurance and test data are captured once.
Extraction pulls the fields off the document; validators check them; anything uncertain is held for review. The data is entered once and reused by every downstream step, including billing.
- Extraction
- Demographics, provider, payer, member ID and requested tests read from the document
- Validation
- NPI, date, ZIP and phone checks, plus required-field rules per lab
- Matching
- Existing patient matched, or a potential duplicate flagged for a person
What the platform does here
- Field-level extraction with per-field confidence
- Configurable validation rules by laboratory
- Patient matching with duplicate detection
- Field-level edit history and audit trail
Extraction proposes; validators verify; a human approves. Records that fail a validator or match an existing patient too closely are routed to a review queue rather than pushed through.
Genetic & PGx laboratory questions
Can we control the report layout precisely?
Report templates are configured per test type, including layout, interpretation sections, methodology, limitations and signature blocks.
Is there a review step before release?
Yes. Results can require verification and sign-out by designated roles before release becomes available, and the release itself is logged.
The platform
All six capabilities on one data model.
Managed services
Trained operational support where you need capacity.
Clinical Laboratories
High-mix routine testing across many ordering sites, where intake volume and turnaround time decide everything.
Molecular Laboratories
Panel-driven testing with complex result structures, batch workflows and demanding documentation requirements.
Toxicology Laboratories
Screen and confirmation workflows with chain-of-custody discipline and payer scrutiny on every claim.
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