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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.
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:
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.
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.
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.