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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.
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.
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.
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.
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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.
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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.
The Impact Of Data Science
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