The $265 Billion Problem: How Unified Data Unlocks Revenue Intelligence in Healthcare
Discover how unified clinical and financial data can solve healthcare’s $265B revenue cycle inefficiency problem with actionable AI-driven insights.
Tag: Edi Data
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...
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...
Want To Control Your Cost To Collect & Utilization? You Need A Holistic View Of Your Healthcare Payments.
Every healthcare CFO and revenue cycle leader should be looking at their insurance payer payments in relation to patient payments -- identifying how they relate and influence one another. This is essential intelligence in an ever-complex revenue cycle.
Your Data Is Too Messy For Data Science
In healthcare payments, where data flows from multiple systems and standards are a moving target, data can be pretty filthy. This means mismatched formats, errors and inconsistencies. Having clean data is often the biggest roadblock to being able to reap...
What’s Going On In Your Payments Data
Normalized and organized data is a gap in healthcare analytics, even in claim denials management. This is why Sift Healthcare is proud to introduce our Denials Dashboards. Sift scrubs and maps your 835 and 837 data to build a single,...
