Taking An Aggressive Approach to Denials Prevention with AI
Most health systems know they have a denials problem eating into their margins. The harder question is where to address it. Hartford HealthCare has a clear answer.
Sift Healthcare recently announced an expanded partnership with Hartford HealthCare, one of the largest and most operationally sophisticated health systems in the Northeast. What makes this partnership noteworthy is the thinking behind it.
Where Reimbursement Risk Starts is Not Where Most Teams Catch It
There’s a pattern in how health systems typically approach reimbursement risk. A claim gets denied. A team works it. Maybe they win the appeal, maybe they don’t. Leadership reviews aggregate denial rates quarterly. Vendors pitch dashboards. The cycle continues.
What’s missing from that pattern is any meaningful connection between the clinical decisions made during a patient’s stay and the payment outcomes that follow weeks or months later. The documentation that supports a claim is created by clinicians. The adjudication rules that determine whether it gets paid are written by payers. And the revenue cycle team sitting between them is usually working with incomplete information in both directions.
Hartford HealthCare’s revenue cycle leadership has built an operation around closing that gap. Their approach treats reimbursement risk as something that forms early, across clinical documentation, utilization review, and coding, and intervenes at those stages.
That distinction sounds simple, but in practice, very few organizations have reorganized their workflows around it.
Why AI in Revenue Cycle Needs Operational Discipline
Hartford HealthCare is also doing something unusual with its Center for AI Innovation in Healthcare. The Center applies advanced analytics where they can demonstrably change outcomes, holding AI to the same standard as any other operational intervention.
That operational rigor is what makes the expanded partnership with Sift productive from day one. Predictive payment intelligence works best when an organization has already connected clinical and financial workflows, as Hartford HealthCare has.
Sift’s RevProtect platform connects clinical data with historical payment outcomes and payer-specific adjudication behavior. It learns how individual payers evaluate clinical evidence for specific DRGs, diagnoses, and procedures, and predicts which cases carry reimbursement risk before a claim is submitted. RevProtect delivers that intelligence directly into the upstream workflows where intervention is still possible.
The partnership with Hartford HealthCare is an opportunity to apply that intelligence inside an organization that has already done the hard work of aligning its revenue cycle operations with clinical reality.
What This Signals for the Industry
Sift’s Fourth Annual Denials Insights Report identified a clear trend: denial activity is moving outside traditional remittance reporting.
- DRG downgrades driven by clinical validation scrutiny are rising
- Post-payment takebacks and recoupments are growing
- Payers are deploying AI-assisted adjudication and policy enforcement that introduces reimbursement risk further upstream and fragments it across workflows
Health systems that can see reimbursement risk forming in real time and intervene before a claim is submitted will protect more of the revenue they’ve earned. The data from Sift’s report suggests the opportunity is significant: in similar partnerships, the highest-risk encounters (often around 16% of total volume) drive a disproportionate share of preventable loss. Catching those cases upstream changes the math on denial management entirely.
Hartford HealthCare is building toward that model, and Sift is proud to be part of the effort. Together, the goal is straightforward: give clinical and revenue cycle teams the intelligence they need to protect reimbursement before it’s at risk, and free up resources that would otherwise go to appeals and rework.
