PatientFlow

PatientFlow is an AI-driven solution designed to automate the patient intake process, reducing the need for manual data entry and enhancing data accuracy. It digitizes, validates, and synchronizes onboarding documents across connected systems, streamlining administrative operations in healthcare.

By employing automated rules, supporting documents, and database lookups, PatientFlow minimizes intake errors, preventing costly delays or denials. It also ensures seamless referrals by standardizing and routing data instantly, eliminating fragmented handoffs that can slow down care.

PatientFlow integrates with major EHR and practice management systems like Epic, Cerner, and Athena, using flexible APIs to facilitate data exchange. It operates under a No-Data Architecture, meaning it does not store or route patient data through Onymos, thus meeting strict privacy and regulatory requirements.

The platform is capable of processing unstructured documents through AI and natural language processing, converting them into structured data for standardized intake. Its user interface is fully customizable, allowing deployment flexibility and integration into existing digital services.

• Error-proof onboarding: Automated rules and database lookups catch and correct issues early.
• Seamless referrals: Standardizes and routes referral data to avoid delays.
• Data security: No-Data Architecture ensures data remains within the customer's environment.
• Customizable UI: Deploy the interface as needed and access CSS and HTML directly.

PatientFlow is part of the modular Onymos DocKnow platform, allowing organizations to select only the features they require without purchasing the entire platform.