DocKnow

Onymos DocKnow is an intelligent intake and document processing platform purpose-built for clinical laboratories. It automatically captures, validates, and enriches document data the moment it arrives at the lab, eliminating the incomplete test orders, inconsistent information, and disconnected systems that create compliance risks and costly downstream errors. DocKnow is designed for lab operations teams, revenue cycle management professionals, and clinical administrators who need clean, accurate data flowing into downstream systems like LIMS and RCM — without manual rework slowing them down.

By replacing manual intake processes with lab-native intelligence, DocKnow delivers measurable results: an 84% reduction in intake errors, 99.7% data validation accuracy, and 60% less rework for operations teams. Guardant Health, for example, partnered with Onymos to handle skyrocketing documentation volumes as oncologists and health systems adopted its next-generation blood tests — transforming intake so that incoming documentation is automatically captured, verified, and routed downstream at scale.

Core Capabilities

• Multi-source document ingestion: Directly upload test requisition forms (TRFs), medical records, pathology reports, insurance cards, face sheets, lab results, remittance advice, and other supporting documentation. Supports PDFs, TIFFs, JPEGs, PNGs, multi-page files, and handwritten documents. Integrates with your existing ecosystem to power a fully custom data capture pipeline.
• Advanced data extraction beyond OCR: Goes beyond simple optical character recognition by understanding context, relationships, and terminology specific to precision medicine. Handles structured, unstructured, and semi-structured documents — including handwritten physician notes and free-form text fields — with handwriting interpretation accuracy exceeding 95%.
• SmartSync data reconciliation: An AI-powered engine that automatically compares extracted values against supporting documents and connected systems to detect missing, mismatched, or conflicting information. Flags discrepancies for resolution before data passes downstream, ensuring accuracy and maintaining clean, compliant records.
• Patient eligibility checks: Performs real-time eligibility checks to confirm test coverage instantly, incorporating domain-specific capabilities that go beyond general-purpose intelligent document processing.
• ICD and CPT taxonomy integrations: Built-in integrations with ICD and CPT coding taxonomies, with AI trained on thousands of healthcare and life sciences documents.
• Nucleus — Cognitive Insight Model (CIM): DocKnow's AI engine, Nucleus, is a Cognitive Insight Model specializing in complex, domain-specific analysis rather than conversational text generation. It surfaces clinical insights, generates complex reports, and converts lab SOPs into real-time, source-linked guidance for operations teams.

Governance, Accuracy, and Compliance

• Custom business rules: Configure rules to control how data is formatted, validated, and accessed across your workflows.
• Immutable audit trails: Generate granular summaries and immutable changelogs to remain audit-ready and in compliance at all times.
• Human-in-the-loop oversight: When data confidence is low or mismatches are detected, the system presents human reviewers with clear visual indicators to make error correction fast and straightforward.
• HIPAA and SOC 2 Type II certified: Onymos holds both HIPAA compliance and SOC 2 Type II certification.
• No-Data Architecture: Onymos does not access, capture, or store customer data. All PII and PHI remains securely within the customer's own environment — whether on-premises or in the cloud — reducing third-party breach risk and simplifying compliance.

Deployment, Integration, and Customization

• Deployed inside your infrastructure: DocKnow runs within your own environment, giving you full control over sensitive data at all times.
• Fully customizable UI: The interface is completely customizable, with direct access to the underlying CSS and HTML. Teams can deploy the UI wherever needed, and customers can license DocKnow's functional source code.
• API-first architecture: All DocKnow actions are controlled via API, enabling teams to build custom UIs around DocKnow's functionality or integrate it into existing digital services and workflows.
• Modular and flexible pricing: DocKnow is designed to be the most modular intelligent document processing platform available. Organizations can purchase only the features they need, with pricing typically based on usage — such as the number of API calls or forms processed.

DocKnow was developed in collaboration with lab managers, retail pharmacists, and healthcare administrators, making it a genuinely lab-native solution rather than a generic document processing tool adapted for healthcare. Its combination of intelligent automation, domain-specific AI, rigorous data governance, and a zero-data-retention architecture makes it well suited for clinical laboratories seeking to accelerate throughput, reduce revenue loss from intake errors, and maintain strong compliance posture from the first document touch through reimbursement.