Data Science & Artificial Intelligence For Healthcare Payments and the Revenue Cycle

A Data-Driven Revenue Cycle.

Sift unifies healthcare payments data to surface actionable insights and enable AI-based workflow optimizations that improve revenue cycle operations and payment outcomes.

  • Machine Learning integrations that improve payer reimbursements and maximize patient payments.
  • Operational Reporting that tracks collection strategies and revenue cycle work efforts.
  • C-Suite Intelligence Tools that enable healthcare administrators to forecast payments and manage risk.  

Improving The Healthcare Revenue Cycle.

Denials Management For Accelerated Denial Overturns

Sift's predictive models prioritize insurance denials around the likelihood of payment. Our EHR-agnostic integrations enable you to focus on your most valuable denials -- the ones that will get overturned and paid.

Learn More →
Patient Payments Management For Increased Patient Collections

Sift's integrated propensity to pay, payment amount and omnichannel contact cadence models drive individualized collection strategies that enable healthcare providers and RCMs to maximize the amount they collect from each patient.

Learn More →
Advanced Analytics For Healthcare Payments

Real-time payments intelligence and combined metrics for both payer and patient payments allow healthcare administrators to track payments behavior like a portfolio and surface new insights around patient populations.

Learn More →
Advanced Analytics For Healthcare Payments

Rev/Track provides powerful insights around healthcare payments with instant access to interactive dashboards and detailed reports that provide a new level of oversight for revenue cycle operations.

Learn More →
HIPAA Compliant & Cloud Based Normalized Database

All Your Payments Data In One Place

Sift captures insurance claim and patient financial data into a HIPAA-compliant, cloud-based and normalized database, providing a single source of truth for around your healthcare payments.

By applying multiple data science techniques, Sift provides comprehensive and integrated recommendations for denials management, payer assessment, patient collections and patient acquisition.

Learn More About Sift’s Data Security →

The Impact Of Data Science

Sift’s claim analytics find that 87% of collectable denial dollars can be found in 50% of claims. We identify what claims your teams should work.
The 10% of patients least likely to pay their bills account for 50%+ of outstanding patient payment bills, and pay less than 5% of their bills.
Sift claims analytics find that 40% of total patient payment write-off dollars can be found in 10% of accounts.

Working with Sift is simple, easy and affordable.

Send us your data* and we do the rest. All plans include a free data consultation and prices scale with your business.

*Preferable sources of data include 837, 835 and payment files.