Healthcare Analytics Archives - Sift Healthcare
Hidden Denials Your Reports Miss: Aetna Medicare Underpayments
Underpayments erode hospital revenue, but don't show as denials in standard denial reporting. Aetna Medicare underpayments is a pattern the Sift team is tracking right now. Here's how your hospital can track this payer pattern that creates hidden denials.
What Your BI Or Analyst Team Can Tell You About Denials, and What It Can’t
Most revenue cycle leaders we talk to already have a denials dashboard. Someone on the analytics team built it, or it’s the standard EHR solution. This denials dashboard refreshes weekly, and it shows the denial rate by payer, service line,...
Your Denials Team Is Under-Informed…
Day-in and day-out most denials teams are making high-stakes decisions with low-grade information.
Inappropriate Denials By Medicare Advantage Organizations Is Widespread
HHS confirms what all hospital revenue cycle leaders have known for years, the inappropriate denials of services and payment by Medicare Advantage Organizations is widespread and persistent.
Rules Are Too Rigid For The Revenue Cycle
Automation (RPA) makes the revenue cycle more efficient — saving time and decreasing errors. While this is an improvement for health systems and hospitals RPA efficiencies are one-dimensional. Fully optimizing the revenue cycle and getting the most out of AI...
Want To Add AI to Your Revenue Cycle? Data Intelligence is the First Step.
So you want to add AI to your revenue cycle? You have to start by establishing a solid foundation of data intelligence. This comes from normalizing and organizing payments data in a way that provides actionable insights. This works will...
Healthcare Providers Have Become Lending Organizations
Every day healthcare providers are extending credit in the form of care, and they have little idea whether, how much or when they will be paid. It’s time for healthcare providers to start deploying well-established data science and analytics tools...
6 Ways To Use Your Healthcare Payments Data To Improve Collections
AI, machine learning and predictive models are abstract terms in the revenue cycle. How do you actually move past the buzzwords and get value out of your healthcare payments data? Here are six ways healthcare providers and RCMs can truly...
Filling The Gap In Revenue Cycle Reporting
Sift Healthcare's Rev/Track provides revenue cycle leaders with instant access to detailed intelligence that enables them to extract meaningful insights from their healthcare payments data -- information that drives better-informed decisions around revenue cycle operations.
Rev/Track Leverages AI To Improve Revenue Cycle Operations
Rev/Track leverages Sift Healthcare's AI and machine learning to help healthcare providers and RCMs to optimize revenue cycle operations. Rev/Track delivers detailed intelligence around payments behavior, insurance denials, collection trends, patient segments and revenue cycle work efforts.