Rcm Optimizations Archives - Sift Healthcare

Marketing View: The Best AI in Your Revenue Cycle Should Be Invisible

Bad AI in your revenue cycle announces itself, like bad CGI. The AI that you never notices is the good stuff. Here's the difference.

Top 8 Denials Management Metrics Every Hospital Should Track

The Denials Management Metrics That Actually Matter in 2026 For years, the denials scorecard was settled and denials management metrics were simple. Initial denial rate, denials by CARC code, overturn rate and days in AR. If those numbers looked good,...

7 Claims Lifecycle Gaps Slowing Hospital Cash Flow

The causes of slowed or missed hospital cash flow are structural, and most of them trace back to the same set of breakdowns happening at predictable points across the claims lifecycle. Hospitals lost more than $48 billion in net revenue...

AI Denial Prevention: Your Model Flagged a Denial. Now What?

Health systems evaluating AI denial prevention need confidence that their investment will actually reduce denials. Granularly, this means that there has to be a clear connection between AI model output and workflow action. The Model Is Not the Product AI...

AI in the Revenue Cycle: A Priority, But…

AI in the revenue cycle isn’t at a tipping point; it’s a sticking point. Revenue cycle leaders at health systems across the country are being given AI mandates. At Sift, we’ve heard from multiple revenue cycle leaders that their CEOs...

Score First, Outsource Second: Why A/R Scoring is the Smarter Path to RCM Vendor ROI

Dollar value and recovery probability are not the same thing. Health systems that outsource without scoring first are paying contingency fees on claims they could have kept. For most health systems, accounts receivable outsourcing feels like a necessary hedge against...

Solving Revenue Cycle Bottlenecks with AI Copilots

AI copilots enhance CDI by connecting clinical and financial data, improving claim accuracy, reducing denials, and optimizing automation in revenue cycle management.

It’s Time To Move Past These 3 Common Revenue Cycle Management Mistakes

It's time for health systems and hospitals to move past these three all-too-common business tactics that have remained constant, despite the ever-changing payer landscape and the mounting pressure for providers to lower costs and provide a more seamless payments experience.

3 Ways Data Can Fix Denials

The impact of insurance claim denials for healthcare providers in 2021, and how providers' own historical payments data and machine learning provide solutions for both denials prevention and appeals prioritization.

Machine Learning In Action – 5 Revenue Cycle Examples

Integrating Machine Learned adds a decision engine to the revenue cycle, enabling you to determine the next best action that should be taken with a claim, denial, patient account, payer contract or vendor. Can't envision it? Here are five examples...

Justin Nicols

Founder & CEO

A leading industry expert in data analytics technology and has an extensive background in corporate finance and investment banking. Prior to founding Sift, Justin served on the executive team of venture backed ad technology company, and an e-commerce technology company.