How algorithmic technology works

Our algorithmic engine approach is designed to optimize revenue cycle technology workflow business rules, standardize decision making for enterprise-wide revenue cycle reporting and analytics and help redesign central business office revenue cycle processes by reducing overlap in redundant manual tasks.
Step 1

We plugin your data

Blend, link and mashup all kinds of revenue cycle and non-revenue cycle data. From ADT, 277, transactions, charges, 835, social determinantes, to clinical outcomes, we make parsing and integrating data assets, easy.
Step 2

We tailor our engines

Algorithms can work with all kinds of data, but we add a little common sense to the equation. We help bridge that best-practice gap, by tailoring our algorithmic engines specifically to your organization.
Step 3

We automatically analyze your data

Our algorithmic engines act like digital-brains, supporting decision makers by automatically analyzing claim data, diagnosing issues, and recommending courses of action.
Step 3

We create enriched information

Our algorithmic engines enrich claim data by refining the data that existed before, adding new attributes and predicting attributes before they happen.
Step 4

We embed into analytics

Standardize a platform for enterprise-wide revenue cycle reporting and analytics augmented with smart recommendations and prescriptive decisions.
Step 5

We optimize workflow(s)

Standardize revenue cycle technology workflow, reporting, policies and procedures and Implement advanced, exception-driven, revenue cycle workflow rules to support and automate functions.

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Ready to experience the algorithmic approach to revenue cycle optimization? Test out our algorithms or speak with an expert today.

Algorithmic Analysis

Machine learning algorithms transform massive amounts of claim data into actionable insights, lighting fast.

Embedded Intel

Rapidly take informed and data-driven action and use it to drive meaningful value in multiple platforms and tools, not just one.