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.
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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
Effy Healthcare
Jul 29, 20201 min read
INFOGRAPHIC | 6 Benefits for Healthcare of Robotic Process Automation (RPA)
Check out 6 Benefits of Applying RPA on your Healthcare Revenue Cycle Management and understand better what can it do for your organization.
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.
Effy Healthcare
Jun 21, 20200 min read
INFOGRAPHIC | Predictive Analytics in Health Care Trends
Find out how executives are actually using predictive analytics, and how it helps uncover the insights and efficiencies they expect.
Effy Healthcare
Jun 7, 20201 min read
INFOGRAPHIC | Healthcare's Top 10 Revenue Leakage Causes
Find out the top 10 Revenue Leakage causes and how Effy Healthcare may help your organization prevent it to happen in the first place.
by Rebecca W. Crytser
May 4, 20203 min read
Operational vs. Actionable Analytics
Understand the value of real-time data analytics VS the limitations of operational data analytics to address and solve operational problems.
Effy Healthcare
Feb 28, 20182 min read
EFFY Showcases How Actionable "Real Time" Analytics Help Hospitals Run More Efficiently
EFFY's first animated video was designed to engage and inform Healthcare organizations/Leaders about its RAID Healthcare Tool.
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.
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