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

Data Science For Healthcare Payments.

Sift Healthcare provides a complete HIPAA-compliant and cloud-based analytics and data science platform for the revenue cycle. Sift uses predictive analytics and machine learning to enable healthcare providers and RCMs to track payer behavior, improve denial overturns, increase patient payments and holistically monitor payment trends.

  • Optimize RCM Workflows
  • Accelerate Cash Flow
  • Maximize Payments, From Both Payers & Patients

Improving The Healthcare Revenue Cycle.

Denials Management For Accelerated Denial Overturns

Sift accelerates and increases insurance payments by integrating predictive analytics directly into your current revenue cycle workflow to prioritize your most actionable claim denials -- the ones that will get overturned and paid.

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Patient Payments Management For Increased Patient Collections

Sift improves the patient revenue cycle to drive better payment outcomes. Sift integrates predictive analytics into the patient revenue cycle to optimize collection strategies and enable healthcare providers to maximize the amount they collect from each patient.

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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. Sift's C-Suite Intelligence Tools surface new insights around your existing and target patient populations.

C-Suite Intelligence →Denials Dashboard →Patient Payments Dashboard →
HIPAA Compliant & Cloud Based Normalized Database

All Your Payments Data In One Place

Sift captures all your claims and payment information into a single, HIPAA-compliant and cloud-based normalized database, providing you with a common source of truth for healthcare payments.

By applying multiple data science techniques, Sift provides comprehensive visualization tools and integrated recommendations for denials, 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.