In early 2022, FinThrive partnered with CDW for the 16-month process of migrating applications and preparing internal staffers for cloud management.
Instead of performing a simple lift-and-shift, FinThrive CTO John Landy says, the company used the migration as an opportunity to invest in a broader modernization. Reconfiguring applications and deepening monitoring capabilities were critical steps in transitioning to a SaaS environment.
“Aligning our cloud management practices with SaaS best practices gives us a real leg up with customers for managing change and ensuring that we’re responsive,” Landy says. “We have a metric on our ability to find issues before our customers do, which is a big client satisfaction driver.”
Through Azure Monitor and other tools, the company has increased its visibility and monitoring capabilities, including synthetic transactions to facilitate oversight and a more consistent view of customer traffic across various products.
“I might be looking at different resources, but I don’t have to learn a different way of examining that across our products,” Robinson says. “Getting that level of consistency from operational and security incident response perspectives is very important.”
Today, FinThrive’s customers are reaping the benefits of its investment, Landy says. For example, modernizing the database and deploying Azure Front Door improved load balancing for redundancy, which gives customers better performance and visibility.
DISCOVER: Here’s why it may be a mistake to stretch out health IT modernization lifecycles.
Increasing FinThrive’s ability to capture and leverage cloud-based data intelligence was also a priority, Landy says. By standardizing on a Databricks Data Intelligence Platform on top of Azure, the company gained AI and machine learning capabilities that, in turn, help providers derive new insights and innovations to improve their financial operations. Ultimately, the goal is to help providers shift RCM from a cost center to a tool that enhances their financial stability.
Earlier this year, FinThrive announced a suite of predictive and preventive RCM solutions to help customers proactively manage revenue, payer information and authorizations.
“Improving the financial aspects of their business is a big part of what we do: optimizing our products to become more predictive and ensure less downtime to increase availability for 24/7 processing,” Landy says.
Experian Health Transforms Data with the Help of AI
At Experian Health, headquartered in Franklin, Tenn., RCM solutions with AI and machine learning capabilities are helping customers shift from “denial management” to “denial prevention,” says Chief Commercial Officer Jason Considine.
He notes that many denials result from missing data on patient eligibility — information often captured late in the process or not at all, leading to time-consuming research and resubmissions. To help providers minimize those issues on the front end, Experian Health has prioritized AI capabilities; for example, acquiring AI company Wave HDC in late 2023, he says.
As one use case for AI, Considine says, provider registration teams can use Experian’s platform to run a single query that verifies payer information proactively.
“We’re helping people get more efficient and reduce denials that, many times, they don’t learn about until weeks or months after the patient has left,” he says. “We’re able to fix that at the point of registration.”
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