Patient Payments Management

Improve Patient Engagement & Increase Patient Payments

Sift’s optimizes the patient revenue cycle for better payment outcomes.
Our advanced propensity to pay models and patient payment recommendations move beyond simple scoring with predictive analytics. Sift identifies which patients will pay their bills, when they will pay, how much they will pay, the best contact method and frequency and how to structure payment options. Sift's AI-driven recommendations are integrated into your existing revenue cycle workflow to optimize collection strategies and increase payments.

Beyond Propensity To Pay, Predictive Analytics For Patient Payments

Beyond Propensity To Pay

Sift goes beyond simple propensity to pay scores. Our advanced data models expand insights into patient responsibility and provide a complete picture of who will pay their bill, and when.

More accurate and more robust than the industry-standard credit score, Sift’s predictive analytics identify and provide recommendations around:

  • Which patients need payment plans
  • Which patients need buy-out offers
  • Who will pay in the early-out period
  • Which accounts qualify for charity

Contact Cadence Models

A score is great, actionable recommendations are better. Sift goes beyond segmenting patients to providing collection strategies that integrate with your current revenue cycle workflows.

Sift uses artificial intelligence to provide recommendations on how to contact each individual patient — the ideal method, cadence and most compelling content, moving you toward a 1-to-1 billing strategy.

Our unique approach enables a 1-to-1 patient billing experience that helps maintain patient relationships, maximize patient collections, decrease the cost to collect and accelerate cash flow.

Sift’s Patient Payment Recommendations Comply With ECOA, HIPAA and FDCPA.

Regulatory Compliance

Sift’s payments management solutions comply with current and anticipated regulation, at both the state and federal level (including ECOA and FDCPA). Sift employs advanced safe harbor segmentation, ensuring consumer protection rules are followed while equipping healthcare providers with powerful analytics that maximize margins.

Healthcare needs a new approach to patient collections
Case Study

State Collection Increases Liquidation With AI-Driven Segmentation & Call Cadence

See how State Collection utilized Sift’s predictive modeling and machine learning workflow optimizations to improve collections while more efficiently utilizing human resources.

Healthcare needs a new approach to patient collections

Healthcare Needs A New Model For Patient Payments Management

Download our free eBook to learn how to enhance your propensity to pay scoring, optimize your current workflows, maintain regulatory compliance and amplify your payments intelligence.

Download free ebook
Healthcare needs a new approach to patient collections

Putting AI into Action In Patient Receivables

How does AI perform in a live, side-by-side test in the revenue cycle? During a pandemic? Extremely well. Learn how Sift enabled State to boost recoveries by 6.5% while improving patient satisfaction through Sift’s advanced analytics and machine learning.


Let Sift Optimize Your Workflows

Sift enhances your claim denials and patient payments management systems with powerful analytics and data science optimizations. Contact us today to learn about pricing for patient payment management solutions.