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Bethany Grabher

Revenue Cycle Analytics

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.

Bethany Grabher
September 25, 2019
Revenue Cycle Analytics

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 is derived from Sift’s predictive model scores — it tracks account quality over the early-out period, enabling RCMs to more intelligently forecast revenue throughout each billing cycle.

Bethany Grabher
September 25, 2019
Patient Payments

6 Ways To Increase Patient Payments

Providers of all sizes, as well as RCMs, will be challenged in 2020 to drive better results in patient collections. Here are six ways to maximize patient payments. They might require some data science, but Sift makes that accessible.

Bethany Grabher
September 25, 2019
Data Science

Automation Does Not Mean Data Science

The term “automation” can refer to any number of automatic processes within the revenue cycle workflows. But, it doesn’t necessarily refer to the use of data science. Just because a process is “automated” doesn’t mean predictive analytics or any data science is applied. However, when you do truly use data science to automate your workflow (which you absolutely should do), you pick up a host of efficiencies and improvements. Our breakdown on automation vs rule-based segmentation vs true predictive analytics.

Bethany Grabher
September 25, 2019
Patient Payments

4 Innovative Strategies For Patient Payments

When healthcare providers leverage their patient payments data to drive their collections strategies, they create new and powerful opportunities to increase the revenue they collect, building patient relationships and using payments data to inform business operations. Here are four new and intelligent ways that healthcare providers are using their patient payments data to be more strategic and to drive better payment outcomes. Here are four innovative ways that healthcare providers are leveraging their patient payments data

Bethany Grabher
September 25, 2019
Healthcare Regulation

Self-Pay Patients & Regulation Around Medical Billing

Healthcare providers must understand federal regulations that apply to payments from self pay-patients, specifically the Fair Debt Collection Practices Act (FDCPA). Litigation around FDCPA is increasing and with surprise medical billing in the crosshairs, healthcare providers and revenue cycle managers need to minimize their risk.

Bethany Grabher
September 25, 2019
Claim Denials

What's Going On In Your Payments Data

Normalized and organized data is a gap in healthcare analytics, even in claim denials management. This is why Sift Healthcare is proud to introduce our Denials Dashboards. Sift scrubs and maps your 835 and 837 data to build a single, normalized data set. This data is organized in an intuitive interface that offers you a new level of oversight for the revenue cycle.

Bethany Grabher
September 25, 2019
Claim Denials

7 Crazy Stats About Healthcare Claims Denials

2019 stats demonstrating how vast and costly healthcare insurance claims denials are in America. These stats make a strong case for employing a denials management strategy that prevents denials and make working denied claims more efficient.

Bethany Grabher
September 25, 2019