Stop preventable denials at the source.
Preventable denials start with bad data. DocKnow fixes that at intake by capturing, validating, and enriching the information in TRFs and other critical documents before it ever gets downstream.
- Molecular denial rate
- 32.9%
- Increase in diagnostic denial rates YoY
- 40%
- Of preventable denials eliminated with DocKnow
- 5–10%
/ The challenge /
The denial starts upstream.
When claims go out with incomplete or inaccurate data, revenue leaks. Denials pile up, your RCM team reworks what should have been right the first time, and reimbursement slows to a crawl.
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01
Denied claims start at intake
Invalid insurance and demographic errors enter with the TRF and can travel all the way to the payer.
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02
Rework costs you
Every rejected claim means rework, resubmission, and time your RCM team doesn’t have.
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03
Cash flow slows
Delayed and underpaid claims stretch reimbursement cycles and put revenue at risk.
/ How it works /
Protect your revenue.
- 01
Capture and validate
Ensure claims are built on complete and accurate information by automatically capturing, validating, and enriching data on TRFs at intake.
- 02
Check eligibility
Perform eligibility checks upfront to decide if a test should move forward or be flagged for high-priority review by client services or RCM teams.
- 03
Track form fill behavior
Track your clients’ form fill behavior to uncover where information is missed and improve completion rates over time.
- 04
Learn from denials
Feed denial data back into the system to identify recurring issues and automatically create rules that prevent them from happening again.
As we continue to grow, investing in intelligent intake helps ensure our operations can scale alongside our science.
/ Capabilities /
The front end of lab RCM.
Get the data, documentation, and payer requirements right at the first touch.
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Data validation
Cross-check patient, payer, and order details to catch discrepancies before billing.
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Eligibility verification
Check patient coverage and eligibility before claims move forward.
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Propensity to pay
Assess the likelihood of reimbursement to prioritize follow-up and focus resources on high-risk claims.
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Denial analytics
Track denial reasons and trends to identify recurring issues and opportunities for improvement.
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Configurable business rules
Apply payer-specific requirements and custom validation logic to billing workflows.
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Revenue cycle integration
Connect with existing billing and RCM systems to exchange data and support downstream workflows.
/ FAQ /
Questions, answered.
Still have questions?
Talk to our team 01 How does DocKnow keep up with changing payer requirements?
Payer rules
DocKnow uses configurable business rules to validate information against payer-specific requirements, including those that vary by test type. They can also be informed by historical denials, helping laboratories identify recurring issues and prevent them from happening again.
As payer policies and reimbursement requirements evolve, these rules can be updated without rebuilding the underlying automation. DocKnow can also track data fields associated with denials, including how frequently they’re missing, corrected, or modified. This helps laboratories identify recurring data quality issues, refine their validation rules, and address potential causes of denials before claims are submitted.
02 Does DocKnow replace our existing revenue cycle management (RCM) software?
RCM
No. DocKnow is designed to complement your existing RCM software, not replace it. While traditional RCM systems manage processes like claims submission, payment posting, and denial management, DocKnow focuses on improving the quality and completeness of the data entering those systems.
03 What types of documents can DocKnow process?
Documents
DocKnow processes test requisition forms (TRFs), medical records, lab reports, insurance cards, and other clinical documents. They can be typed or handwritten, single pages or multi-page packets, and arrive by upload, fax, email, SFTP, or API.
04 What makes DocKnow “lab-native”?
Lab-native
Unlike general-purpose document processing platforms, DocKnow is purpose-built for the complexity of laboratory operations.
At its core is Synapse, our domain-specific intelligence layer, developed through experience processing more than one million completed forms across 500+ variations. Synapse augments AI-generated results with laboratory-specific knowledge and programmatic logic to help ensure extracted information is ready for downstream workflows.
That specialization extends to built-in capabilities, including integrations with ICD and CPT code sets for interpreting and validating laboratory-related information.
05 Where is DocKnow deployed?
Deployment
Inside your infrastructure, either in your cloud VPC or on-premises. Documents and patient data never leave your environment, so you stay in control of security and access.
For labs that want or need it, Onymos also offers secure hosting.
06 How does DocKnow connect to our other systems?
Integrations
Through APIs, HL7 / FHIR interfaces, and SFTP. Validated, structured data is written back to your LIS, EHR, and billing systems automatically.
07 How does pricing for DocKnow work?
Pricing
DocKnow pricing is tailored to your processing volume, workflow complexity, and deployment requirements. We work with your team to understand your needs and develop a pricing structure that accounts for both the software and the infrastructure costs associated with running DocKnow in your environment.
As your document volumes grow, we can also structure pricing to make scaling more economical.
08 How long does implementation take?
Onboarding
Most teams start with a single test line and expand from there. Timelines depend on the number of document types and integrations, and our team scopes them with you up front. A typical timeline is 3-4 weeks.
/ Get started /
See where billing starts.
We’ll build a custom demo focused on solving your biggest RCM challenges, so you can see the impact firsthand.