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Sift Healthcare
Payments Intelligence for Healthcare Revenue Cycle Optimization

What is Sift Healthcare?

Sift Healthcare equips healthcare organizations to fully leverage their payments data to optimize the financial performance of the entire revenue cycle continuum. The platform provides a unified and normalized view of payments data, enabling data-driven decision-making.

Sift captures insurance claim and patient financial data into a HIPAA-compliant, cloud-based, normalized database. This provides a single source of truth for healthcare payments. By applying multiple data science techniques, Sift offers comprehensive and integrated recommendations for denials management, payer assessment, patient collections, and patient acquisition.

Features

  • Denials Prevention: Proactive identification of potential claim denials.
  • Smart Claim Edits: Intelligent suggestions for claim modifications to prevent denials.
  • Appeal Workflow Prioritization: Prioritizes denied claims based on the likelihood of successful appeal.
  • Patient Financial Engagement Intelligence: Recommends patient-specific collection strategies.
  • Unified Payments Data: Normalizes and consolidates payments data for comprehensive oversight.
  • Rev/Track: Automated daily reporting with operational intelligence for all levels of a provider organization or RCM.

Use Cases

  • Optimize payer reimbursement processes.
  • Enhance patient payment collections.
  • Prevent claim denials and improve overturn rates.
  • Gain a unified view of all payments data.
  • Improve revenue cycle management workflow.
  • Automated daily revenue cycle performance tracking

FAQs

  • What data sources does Sift use?
    Preferable sources of data include 837, 835 and payment files.
  • How does Sift ensure data security?
    Sift captures data into a HIPAA-compliant, cloud-based and normalized database.

Related Queries

Helpful for people in the following professions

Sift Healthcare Uptime Monitor

Average Uptime

100%

Average Response Time

247.3 ms

Last 30 Days

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