Data Science Archives - Sift Healthcare

AI Copilots in Revenue Cycle

AI copilots enhance CDI by connecting clinical and financial data, improving claim accuracy, reducing denials, and optimizing automation in revenue cycle management.
Published on: March 3, 2025
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AI, Technology & Compassion

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,...
Published on: June 29, 2022
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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.
Published on: November 9, 2021
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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...
Published on: November 3, 2021
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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...
Published on: November 3, 2021
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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...
Published on: June 3, 2021
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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...
Published on: May 20, 2020
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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.
Published on: May 7, 2020
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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...
Published on: December 10, 2019
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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... Published on: September 17, 2019
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About the Author

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.