Sift’s AI optimizes both patient engagement and account resolution by integrating patient-specific collection strategies into existing workflows.
Acute care EMR, Ambulatory EMR, Patient portal, Access +/or revenue cycle
EMR Integration & Relevant Hardware:
Epic, Cerner, Meditech, Allscripts
For hospitals, it is 4x harder to collect from patients than insurance payers. Patients now make up to 30% of hospital revenue but are 4x harder to collect from than insurance payers1 due to complexity, regulation and patient means.
Sift Healthcare provides advanced analytics and machine learning integrations to optimize patient payments. Sift combines patient payment expertise and AI-driven intelligence to equip providers with an integrated toolset to optimize patient financial engagement.
Patient collections should be a dialogue, not a solicitation. Sift integrates AI into your patient engagement platform to guide patient communications activities – maximizing collections while improving patient engagement.
Propensity-to-pay for a person, not a number. Sift goes beyond credit scores, leveraging historical data to determine the best engagement approach for each patient.
Sift's intelligence tools and integrated ML recommendations around patient payments enable health systems to:
In the aftermath of COVID-19, it will be increasingly important for healthcare providers to be flexible payment partners. To do this effectively, predictive analytics around payments will be essential. Sift identifies who will struggle to pay, how to best structure payment plans for each individual patient, and best contact method and frequency for communication. All of these AI-driven recommendations are integrated into providers' existing revenue cycle workflows, making it easy to integrate a proactive patient payments strategy.
VP or Revenue Cycle, PFS executives, PFS team, SBO and CBO personnel, Patient Payment Collections Team