Revenue Cycle Analytics Archives - Page 2 of 3 - Sift Healthcare
Most providers aren’t monitoring PLBs. Payers know it.
PLB data is rich in information, telling you which payers are recouping, how often, and in what patterns. But you won't see it in static retrospective RCM reports or standard denial dashboards. If your team isn't actively monitoring PLB activity...
Sift’s Fourth Annual Denials Insights Report
Sift Healthcare's Fourth Annual Denials Insights Report analyzes 2025 payer behavior trends and how they are reshaping the way health systems measure reimbursement risk.
Beyond Denials Management – Adverse Payment Outcomes
Revenue cycle teams spend enormous energy managing denials, yet health systems still lose revenue. Here’s the case for a broader approach.
2022 Healthcare Denials Insights
Denials are a significant and persistent obstacle for health systems and hospitals. They slow down receivables and add unnecessary administrative burdens. Sift Healthcare’s 2022 Denials Insight Report contains granular denials insights and action items to track root causes, prevent denials...
4 Key Areas To Focus On To Recover Missed Receivables Or Accelerate Cash
Sift's VP of Product & Client Success, Blake Sollenberger, talks denials management, covering 4 key areas health systems and hospitals can focus on to recover missed receivables or accelerate cash.
Want To Add AI to Your Revenue Cycle? Data Intelligence is the First Step.
So you want to add AI to your revenue cycle? You have to start by establishing a solid foundation of data intelligence. This comes from normalizing and organizing payments data in a way that provides actionable insights. This works will...
Rules Are Too Rigid For The Revenue Cycle
Automation (RPA) makes the revenue cycle more efficient — saving time and decreasing errors. While this is an improvement for health systems and hospitals RPA efficiencies are one-dimensional. Fully optimizing the revenue cycle and getting the most out of AI...
Healthcare Providers Have Become Lending Organizations
Every day healthcare providers are extending credit in the form of care, and they have little idea whether, how much or when they will be paid. It’s time for healthcare providers to start deploying well-established data science and analytics tools...
6 Ways To Use Your Healthcare Payments Data To Improve Collections
AI, machine learning and predictive models are abstract terms in the revenue cycle. How do you actually move past the buzzwords and get value out of your healthcare payments data? Here are six ways healthcare providers and RCMs can truly...
Filling The Gap In Revenue Cycle Reporting
Sift Healthcare's Rev/Track provides revenue cycle leaders with instant access to detailed intelligence that enables them to extract meaningful insights from their healthcare payments data -- information that drives better-informed decisions around revenue cycle operations.
Justin Nicols
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.