Revenue Cycle Analytics Archives - Sift Healthcare
Hidden Denials Your Reports Miss: Aetna Medicare Underpayments
Underpayments erode hospital revenue, but don't show as denials in standard denial reporting. Aetna Medicare underpayments is a pattern the Sift team is tracking right now. Here's how your hospital can track this payer pattern that creates hidden denials.
CEO Perspectives: Hospitals Think They’re Maximizing Revenue. They’re Only Measuring Half Of It.
CDI programs track revenue captured, not what the payer actually lets a health system keep. Sift's CEO, Justin Nicols on the measurement gap that erases net revenue and why CDI vendors don't flag it.
What Your BI Or Analyst Team Can Tell You About Denials, and What It Can’t
Most revenue cycle leaders we talk to already have a denials dashboard. Someone on the analytics team built it, or it’s the standard EHR solution. This denials dashboard refreshes weekly, and it shows the denial rate by payer, service line,...
How to Know if a Denial Cluster is Worth Automating with an AI Agent
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...
Segment Loop 2110: Another Way Your 835 Isn’t Showing Your Denials
The Loop 2110 segment was designed to communicate payer decisions. But payers have moved on, and health systems still managing denials through the remittance file are working with an incomplete picture. We’ve seen an influx of Google searches for “835...
Aetna’s SOI policy is changing inpatient reimbursement without showing up as a denial.
Last week, we wrote about PLBs and how revenue is being pulled back after payment in ways most teams aren’t actively monitoring. We’re also seeing a similar dynamic show up earlier in the process. Aetna’s SOI-based inpatient policy approves stays...
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.
Rev/Track Leverages AI To Improve Revenue Cycle Operations
Rev/Track leverages Sift Healthcare's AI and machine learning to help healthcare providers and RCMs to optimize revenue cycle operations. Rev/Track delivers detailed intelligence around payments behavior, insurance denials, collection trends, patient segments and revenue cycle work efforts.
Introducing The Sift Quality Score
Introducing The Sift Quality Score. For revenue cycle managers, understanding account quality and its impact on patient collections is essential for forecasting revenue, optimizing RCM workflows and ensuring the best strategy is in place for managing resources. Sift’s Quality Score...
Hospital CFO’s & The “Negligible” Use Of Data Analytics
93% of healthcare administrators say that data analytics are “crucial” to future healthcare operations. At the same time, 84% say the usage of advanced analytics at their organization is “negligible”. In healthcare payments, there are three key roadblocks to the...