## Tag: Artificial Intelligence

### [Marketing View: The Best AI in Your Revenue Cycle Should Be Invisible](/content/sift-perspectives/ai-in-your-revenue-cycle-should-be-invisible/index.html)

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.

*Published on July 20, 2026*

### [Prioritizing Denials: How to Find the Recoverable Dollars in Your Denial Workqueue](/content/sift-perspectives/prioritizing-denials-by-financial-impact/index.html)

Most denial workqueues direct users to work accounts from oldest or largest first, assuming that recovery will follow. It seems like a reasonable assumption, but it’s wrong in a way that costs health systems real revenue (and wastes valuable time/touches).  
*Published on June 23, 2026*

### [Which Hospital Denial Tools Provide Payer-Specific Denial Intelligence? What to Actually Look For.](/content/sift-perspectives/payer-specific-denial-intelligence-requirements/index.html)

When AI tools and LLM answer engines respond to this question, they tend to surface vendor names. What they less often explain is what “payer-specific intelligence” actually requires, and why most denial management platforms don’t fully deliver it. This post...  
*Published on June 16, 2026*

### [AI Denial Prevention: Your Model Flagged a Denial. Now What?](/content/sift-perspectives/ai-denial-prevention-payment-intelligence/index.html)

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...  
*Published on June 10, 2026*

### [AI in the Revenue Cycle: A Priority, But…](/content/sift-perspectives/ai-in-the-revenue-cycle-sticking-point/index.html)

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...  
*Published on May 26, 2026*

### [How to Know if a Denial Cluster is Worth Automating with an AI Agent](/content/sift-perspectives/how-to-know-if-a-denial-cluster-is-worth-automating-with-an-ai-agent/index.html)

Agentic AI is being hailed across the revenue cycle right now, for appeals, claim resubmissions, documentation retrieval and a slew of other workflows. For the most part, the use cases make sense on paper. But many health system revenue cycle teams are making deployment decisions based on...  
*Published on April 30, 2026*

### [AI Works at Sift: Human Judgment in the Loop](/content/sift-perspectives/ai-works-at-sift-human-judgment-in-the-loop/index.html)

Inside Sift Healthcare's AI Works program, thoughtful GenAI adoption, real AI use cases, and the human judgment layer that keeps our work meaningful.  
*Published on November 4, 2025*

### [Autonomous CDI: The Future of Healthcare Documentation](/content/sift-perspectives/autonomous-cdi-the-future-of-healthcare-documentation/index.html)

Autonomous CDI transforms the healthcare revenue cycle by automating documentation, reducing burnout, preventing denials, and enhancing clinical and financial outcomes.  
*Published on April 15, 2025*

### [Solving Revenue Cycle Bottlenecks with AI Copilots](/content/sift-perspectives/solving-revenue-cycle-bottlenecks-with-ai-copilots/index.html)

AI copilots enhance CDI by connecting clinical and financial data, improving claim accuracy, reducing denials, and optimizing automation in revenue cycle management.  
*Published on March 3, 2025*

### [AI, Technology & Compassion. Give it a listen.](/content/sift-perspectives/ai-technology-compassion/index.html)

Sift's Blake Sollenberger and Affinity Strategies' Claire Vincent talk about the impact of AI on healthcare payments. They cover the challenges health systems face as they increasingly act as financial lenders, the importance of a positive patient experience in billing,...  
*Published on June 29, 2022*