Sift Healthcare

About
Sift Healthcare

The Problem Sift 
Was Built to Solve

Health systems have more revenue cycle data than ever—and less confidence in what will actually get paid. Denials persist around 15% despite waves of “AI solutions.” Appeals teams chase yesterday’s denials. CDI and UR teams make critical documentation and utilization decisions without visibility into payer-specific payment risk or downstream outcomes.

Sift built RevProtect to deliver what traditional analytics and point solutions can’t: real predictions that tell revenue cycle teams what will happen before the claim goes out and what to do about it. The platform connects clinical context and payer response patterns to predict reimbursement risk in real time, then delivers that intelligence as clear, role-specific actions embedded directly into existing workflows.

The Problem Sift 
Was Built to Solve

The Team Behind RevProtect

Sift’s team brings deep, hands-on experience in predictive analytics and enterprise data platforms. Based in Milwaukee, the company’s founders built decision support systems across industries, but healthcare revenue cycle is where they saw the biggest gap between available technology and what was actually being deployed.

Sift supports healthcare systems operating at scale with complex reimbursement workflows. These clients don’t want another portal to check—they want intelligence that fits into how their teams already work and proves financial impact quickly.

Milwaukee

Why Health Systems Choose RevProtect

Real-time prediction, not retroactive reporting.
Real-time prediction, not retroactive reporting.
Sift models revenue risks as care is documented, not after the claim is submitted.
Clinical root cause identification.
Clinical root cause identification.
RevProtect shows why a claim is at risk and what specific action addresses it—by payer, DRG, and documentation pattern.
Workflow integration.
Workflow integration.
Recommendations go where revenue cycle teams already work, reducing portal friction and improving adoption.
Continuous learning.
Continuous learning.
Every claim outcome refines the models, making predictions more accurate and ROI more measurable over time.
Proven at scale.
Proven at scale.
Sift has analyzed millions of claims, built 329 proprietary MS-DRG playbooks, and delivered measurable impact for health systems managing complex payer mixes.

Turn insight into earlier action and better payment outcomes.

RevProtect helps health systems prevent revenue loss before claims are submitted and recover it when prevention isn’t possible.

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