Sift MD leverages predictive analytics to reduce insurance claim denials. By applying machine learning to claims edits Sift MD goes beyond data scrubbing and rules engines. Sift analyzes claims, proposes adjustments and then dynamically learns from denials. Based on more than 100 attributes, our predictive algorithms holistically examine denials and rank workflow activity based on the ROI potential of the individual claim effort.
Our claims denial toolkit helps accelerate collections and reduces human capital intervention throughout the denials appeals process.
Improved denial rates accelerate payments, reduces bad debt write-off and reduces human capital intervention — all improvements to your bottom line.
No system can erase denials completely, but Sift MD helps your teams work smarter on denials that need to be address. Sift MD’s denial analytics rank denials in estimated ROI so your teams touch the most valuable accounts first.
Easily view and compare denial codes, rates and how they relate to specific procedures, locations, providers and payers.
Learn how Sift MD can improve your analytics, denials management on insurance claims and patient scoring.Schedule Demo