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ChargeFlow

Automates healthcare revenue cycle management, reducing errors and overhead with AI-driven document processing and compliance.

Solution by Onymos
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Overview

ChargeFlow is a document automation solution within the Onymos DocKnow platform, designed to streamline revenue cycle workflows in healthcare. It automates the paperwork associated with payments, enabling billing teams to operate more efficiently with fewer errors and reduced overhead.

ChargeFlow features intelligent ingestion capabilities, capturing and categorizing revenue-related documents from any source or generating them from raw data. Its precision automation uses AI to adapt to existing workflows and enforce configurable business rules at scale.

With SmartSync, ChargeFlow provides a comprehensive audit trail by reconciling conflicting data points across documents and systems. This AI-powered engine ensures compliance by generating field-level change logs and maintaining accurate records. It extracts and exports validated data in formats like JSON and .xlsx, routing it to appropriate downstream systems.

ChargeFlow supports a variety of documents, including superbills, EOBs, and claims, and can process unstructured documents using AI and NLP to standardize data intake. The solution is highly customizable, allowing teams to deploy the UI as needed and access the functional source code. Additionally, a robust API facilitates integration with existing systems, enhancing billing and ordering automation.

Security is a priority, with Onymos employing a No-Data Architecture that keeps all data within the customer's environment, ensuring SOC 2 and HIPAA compliance. This approach minimizes data exposure and simplifies compliance, offering a strategic advantage in data management.

ChargeFlow is part of the modular DocKnow platform, allowing organizations to select and purchase only the features they require, without needing to invest in the entire platform.

Meta

Category
Regulatory & Quality Compliance
Field(s)
Quality & Compliance
Target user(s)
QA / Regulatory AffairsClinical / Diagnostic Professional
Tag(s)
Quality & Compliance ManagementAI