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

EFFY’s Business Assurance and Efficiency solution uses continuous, real-time data auditing exception-based triggers across the revenue cycle

Traditional BI isn’t enough for healthcare. Check out how Effy’s Performance Analytics empowers your organization with corrective processes.

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) brings to healthcare providers the automation of various complex but repetitive tasks, removing them...

Eliminate KPI fluctuations by correcting the root causes of poor performance. Learn more about healthcare business assurance.

Check out 6 Benefits of Applying RPA on your Healthcare Revenue Cycle Management and understand better what can it do for your organization.

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

Find out how executives are actually using predictive analytics, and how it helps uncover the insights and efficiencies they expect.

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

With the need to aggregate and compare data from diverse platforms, Real-time data analytics in a hospital enterprise has become fundamental

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.

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

EFFY's first animated video was designed to engage and inform Healthcare organizations/Leaders about its RAID Healthcare Tool.

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