Revenue Cycle Archives

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...

November 3, 2021

Want To Add AI to Your Revenue Cycle? Data Intelligence is the First Step.

Data Science

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...

November 3, 2021

Claim Denials

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.

June 28, 2021

Machine Learning

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...

June 15, 2021

5 Ways Machine Learning and RPA Work Together In The Revenue Cycle

Healthcare Payments

5 Ways Machine Learning and RPA Work Together In The Revenue Cycle

Machine Learning makes RPA more effective in the revenue cycle. Being able to truly leverage payments data to drive decision-making makes automation efforts meaningful. ML enables RPA efforts to move from automating repetitive human processes to attacking the root causes...

June 3, 2021

3 Reasons Why The Future Of Healthcare Payments Is Not Automation.

Data Science

3 Reasons Why The Future Of Healthcare Payments Is Not Automation.

RPA Follows Rules. Machine Learning Generates Intelligence. Your revenue cycle will benefit from both. Learn about the limitations of RPA and how machine learning provides can have a more meaningful impact on the healthcare revenue cycle.

May 11, 2021

Healthcare Payments

Fintech Meets Medtech To Improve Healthcare Payments

Wonder how Sift impacts healthcare? Watch Sift Healthcare's Founder and CEO, Justin Nicols talk with StartUp Health's Logan Plaster about the impact of Sift's AI and analytics on healthcare payments.

April 13, 2021

How a 120-Day Machine Learning Experiment Led to a 6.5% Increase in Patient Collections

Patient Payments

How a 120-Day Machine Learning Experiment Led to a 6.5% Increase in Patient Collections

In late 2019, Sift Healthcare and State Collection joined forces to test AI in the revenue cycle. Together, we conducted a rigorous 120-day live, scientific test (with a control group) for Wake Forest Baptist Health, to determine if machine learning...

October 22, 2020

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...

April 6, 2020

How Do You Optimize Patient Collections During COVID-19?

Patient Payments

How Do You Optimize Patient Collections During COVID-19?

While triage around COVID-19 continues, patient bills are going to pile up, cash on hand is going to dwindle and a more significant number of patients will struggle to pay their medical bills. Now is the time to be strategic...

March 31, 2020

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Tag: Revenue Cycle

Rules Are Too Rigid For The Revenue Cycle

Want To Add AI to Your Revenue Cycle? Data Intelligence is the First Step.

3 Ways Data Can Fix Denials

Machine Learning In Action – 5 Revenue Cycle Examples

5 Ways Machine Learning and RPA Work Together In The Revenue Cycle

3 Reasons Why The Future Of Healthcare Payments Is Not Automation.

Fintech Meets Medtech To Improve Healthcare Payments

How a 120-Day Machine Learning Experiment Led to a 6.5% Increase in Patient Collections

Introducing The Sift Quality Score

How Do You Optimize Patient Collections During COVID-19?

Which Hospital Denial Tools Provide Payer-Specific Denial Intelligence? What to Actually Look For.

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

CEO Perspectives: Proactive Denial Management, What the SaaS Repricing Tells Us

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