RCM | Effy Healthcare

Turning RPM Data into Action – and Revenue

Effy Healthcare

Sep 8, 20213 min read

Turning RPM Data into Action – and Revenue

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

WHITE PAPER | An Antidote for Hospital Revenue Leakages

Effy Healthcare

Jul 23, 20211 min read

WHITE PAPER | An Antidote for Hospital Revenue Leakages

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

Using Technology to Demonstrate Compliance While Raising Revenue

Effy Healthcare

Mar 2, 20213 min read

Using Technology to Demonstrate Compliance While Raising Revenue

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

INFOGRAPHIC | 8 Robotic Process Automation (RPA) Use Cases in Healthcare

Effy Healthcare

Jan 24, 20211 min read

INFOGRAPHIC | 8 Robotic Process Automation (RPA) Use Cases in Healthcare

Robotic Process Automation (RPA) brings to healthcare providers the automation of various complex but repetitive tasks, removing them...

Raise Your Hospital KPIs with a Focus on Cause and Effect Relationships

Effy Healthcare

Dec 17, 20204 min read

Raise Your Hospital KPIs with a Focus on Cause and Effect Relationships

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

Where RPA Can Make a Difference in Healthcare

Effy Healthcare

Nov 16, 20203 min read

Where RPA Can Make a Difference in Healthcare

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

Effy Healthcare

Oct 29, 20202 min read

Guidehouse and Effy Healthcare Collaborate to Deliver AI-Powered Revenue Cycle Services

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

The Best Practice for Creating a Patient-centric Revenue Cycle? Make sure there are no surprises.

Effy Healthcare

Oct 6, 20203 min read

The Best Practice for Creating a Patient-centric Revenue Cycle? Make sure there are no surprises.

Clear communication combined with a smooth revenue cycle create an opportunity to protect revenue and raise patient satisfaction.

Healthcare Business Assurance: The Next Step of RCM Evolution

Effy Healthcare

Jul 6, 20205 min read

Healthcare Business Assurance: The Next Step of RCM Evolution

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

“Real Time” Data Makes a Real Difference in Finding and Fixing RCM Issues

Effy Healthcare

May 25, 20202 min read

“Real Time” Data Makes a Real Difference in Finding and Fixing RCM Issues

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

Effy Healthcare

Oct 1, 20192 min read

EFFY Healthcare at Becker's Hospital Review 5th Annual Health IT & Revenue Cycle Conference

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

Key Trends Make (Near) Real-Time Data a Must-Have for Optimizing RCM

by Jonathan Farr

Mar 5, 20192 min read

Key Trends Make (Near) Real-Time Data a Must-Have for Optimizing RCM

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

Optimize your RCM and reduce claim denials

by Jonathan Farr

Nov 21, 20183 min read

Optimize your RCM and reduce claim denials

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

Hospital Systems Place High Value on Acquiring Actionable Analytics to Optimize Efficiencies

by Jonathan Farr

Oct 9, 20173 min read

Hospital Systems Place High Value on Acquiring Actionable Analytics to Optimize Efficiencies

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