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Predictive Patient Payment Management

Predictive Patient Payment Management

Predictive Patient Payment Management

By Sift Healthcare

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Sift's AI-driven approach to patient payments optimizes the patient billing and collection process for better payment outcomes -- increasing revenue and collecting the maximum from each patient
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Overview



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Description

Sifts advanced data science driven patient payment models and AI-driven recommendations move beyond simple scoring to robust 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.
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EHR integration

Integrations:

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Clients

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Use cases

Description

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COVID-19 use cases:
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.
Users:
VP revenue cycle, patient financial services team, SBO and CBO personnel, patient payment collections team
Differentiators

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Company information

Founded in 2017

2.5M total equity funding

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Reviewer’s Role
  • End user
  • Project manager
  • IT / Technical support
  • Executive sponsor
  • Internal consultant
  • Other

Reviewer’s Org Size
  • XL ($5B+ NPR)
  • L ($3-5B NPR)
  • M ($1-3B NPR)
  • S ($0.2-1B NPR)
  • XS (< $0.2B NPR)

Reviewer’s Org EMR compatibility

Reviewer’s Org Type
  • AMC
  • Pediatric Facilities
  • ACO
  • Rural Presence

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