Perspectives on AI, Denial Prevention, Revenue Cycle | Sift Healthcare
Sift Perspectives
Recent Articles
Announcing Sift’s Series A Funding
Today is an exciting milestone for Sift as we’re proud to announce the completion of Sift Healthcare’s $9 million Series A fundraising round, led by Allos Ventures and First Trust Capital Partners. Funding supports the accelerating sales of our denials...
AI, Technology & Compassion. Give it a listen.
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...
Inappropriate Denials By Medicare Advantage Organizations Is Widespread
HHS confirms what all hospital revenue cycle leaders have known for years, the inappropriate denials of services and payment by Medicare Advantage Organizations is widespread and persistent.
It’s Time To Move Past These 3 Common Revenue Cycle Management Mistakes
It's time for health systems and hospitals to move past these three all-too-common business tactics that have remained constant, despite the ever-changing payer landscape and the mounting pressure for providers to lower costs and provide a more seamless payments experience.
The Revenue Cycle Is Ready For AI… Are You?
AI can drive payments and cut waste, but where do you start? Download our roadmap for healthcare executives, AI for the Healthcare Revenue Cycle, a free and unbiased implementation guide.
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...
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.
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...
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...
About
Justin Nicols
Founder & CEO
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.