Docus

Docus provides an artificial intelligence layer designed for diagnostic labs to automate interpretation, follow-ups, compliance, and key workflows. It targets direct-to-consumer, reference, and in-house labs to improve engagement, retention, and operational efficiency. The tool supports doctors and patients with AI-generated reports, reminders, and context-aware assistance. It emphasizes security and easy integration to fit existing lab ecosystems.

Docus operates by receiving lab data through APIs or HL7 and delivering structured interpretation reports and other outputs into LIS, CRM, or EHR systems. It also offers interfaces that labs, doctors, and patients can use directly, with minimal integration required. The platform notes enterprise-grade security across HIPAA, GDPR, and SOC 2, with data encrypted and minimal need for personal identifiers in core workflows.

Docus presents multiple capabilities focused on interpretation, follow-ups, compliance, requisitions, and assistants. It provides AI-generated clinical reports for doctors and patient-friendly versions, alongside context-aware follow-up recommendations and automated checks for medical necessity. The solution includes AI assistants for both doctors and patients, aiming to support decision making and engagement.

Docus outlines plans and deployment options, including flexible subscription pricing for lab software, details on integration methods, and interfaces that can be branded for labs. It discusses access through API/HL7 integration and Docus Interfaces, and highlights security and onboarding options, along with a path to trial or contacting sales for pricing specifics.

Use cases

• For labs serving direct-to-consumer patients, Docus delivers patient-friendly reports and supports retention through follow-ups.
• Reference labs leverage clinical interpretations to simplify ordering and review for referring providers.
• In-house labs and clinics reduce interpretation workload and improve internal decision making.