Learn how Effy can bridge the gap between remote patient monitoring (RPM) and clinicians to improve health outcomes and revenue.

Manage regulatory burdens and boost revenue with continuous monitoring and corrective actions.

Are gaps in claims processing affecting KPIs and putting your cash flow at risk during COVID? Even with vaccination efforts, it is...

Robotic Process Automation (RPA) streamlines tasks in healthcare such as eligibility, cost estimates and more.

Effy Healthcare announces a collaboration with Guidehouse to automate the revenue cycle management process using AI.

Exploring a solution outside of traditional healthcare technology got to the root of the problem and raised revenue.

In 2017, Becky Crytser, Administrative Director of Revenue Integrity, was part of a team tasked with rectifying authorization challenges.

Healthcare RCM technology has been evolving for decades and the answers to some healthcare organizations may come from telecom industry.

Each new denial represents a painful financial drain on healthcare practices and organizations. Even when claims are recovered, the...

Find out the top 10 Revenue Leakage causes and how Effy Healthcare may help your organization prevent it to happen in the first place.

Understand the value of real-time data analytics VS the limitations of operational data analytics to address and solve operational problems.

See what EFFY's Head of Delivery Services has to say on how to decrease denial rates and save time and money in the process.

Effy Healthcare and Revenue Integrity PRN@ partner up to bring Revenue Cycle to next level!

Effy aims to meet Customers & Partners there and share its vision and solutions on how to Increase Efficiency through Actionable Analytics.

Key trends in Hospital analytics are shifting toward (near) real-time analytics as an important step beyond problem definition.

The importance of selecting the right Revenue Cycle Management auditing (RCM) solution to ensure clinical and operational excellence.

Hospital leaders face substantial challenges in terms of aggregating and comparing vast datasets to identify and correct problems.