Docus

Docus is an AI-powered platform designed for modern diagnostic labs. It helps labs increase revenue, improve patient retention, and reduce operational and compliance costs through a suite of AI-driven tools. The platform serves reference labs, direct-to-consumer labs, and in-house labs within hospitals or clinics.

Key Features

• Interpretation Reports: AI generates clinical reports for doctors (including differential diagnoses and follow-up suggestions) and patient-friendly summaries to help patients understand their results.
• Follow-Up Recommendations: AI suggests next tests and follow-up steps based on lab results and risks, sends reminders to patients, and allows doctors to set consultation reminders.
• AI Compliance Agent: Automates medical necessity checks, validates ICD-test orders, checks repeat testing frequency, and alerts labs/doctors to issues to prevent denials.
• Digital Requisitions: AI-assisted form completion with autocomplete, AI-generated medical necessity text, digital signatures, and direct delivery to LIS.
• Context-Aware AI Assistants: AI chat assistants for doctors (clinical support) and patients (educational answers) that use patient history for personalized responses.

Integration and Security

Docus integrates via API/HL7 with existing LIS, CRM, and EHR systems, or can be used through its own interfaces. It meets HIPAA, GDPR, and SOC 2 standards, with encrypted data and minimal PII requirements.

Who It’s For

• Direct-to-Consumer Labs: provide patient-friendly reports and drive follow-up testing.
• Reference Labs: simplify ordering and deliver clinical interpretations to referring providers.
• In-House Labs & Clinics: reduce interpretation workload and support faster decisions.

Docus has demonstrated significant impact, with one lab achieving 230% test volume growth and a rise in follow-up testing from 5% to 27%.

Key Benefits

• Increases test volume and revenue
• Improves patient retention with follow-up recommendations
• Reduces compliance risk with automated checks
• Easy integration via API/HL7 or built-in interfaces