How Payers Can Modernize Operations With AI and Automation — Without Ripping Everything Out

In a recent video interview, Brian Yavorsky, CTO at Imagenet, discusses how the company helps payers use AI and other data technologies to achieve efficiencies. Emphasizing the difficulties in getting skilled staff, Yavorsky says that automation can reduce labor not by removing people, but by automating areas that are difficult to staff.  Plus, by automating the mundane tasks you allow staff to work on higher value tasks that they enjoy more.

Many payers are burdened with legacy systems and workflows, especially after acquiring other companies. Although the systems work individually, the fragmentation in systems and data introduces inefficiencies and requires more manual work, which adds to costs and slows payer responses.  Organizations that don’t address this fragmentation suffer from inefficient processes and often can’t benefit from new AI technologies.

When looking at addressing legacy technology at payer organizations, Yavorsky does not favor the “big bang” approach to replacing everything at once because it can take operations offline and requires resources that payers might not have. Instead, he recommends taking “smaller bites of the apple,” and modernizing in very specific areas.  This step-by-step approach to modernizing your payer operations allows leadership to see the success of the IT project early so they’ll continue to invest in modernization efforts.

When it comes to leveraging AI with payers, AI offers opportunities especially in handling exceptions to the rules, which normally require the most human labor: “high frustration areas” as Yavorsky puts it. Any problems in process become more expensive as one gets later in that process. So automation can help reduce rework in claims, communications, and risk reduction by helping the payer address problems early in the process.

If you’re an organization looking to modernize your operations and benefit from AI, you’ll enjoy our interview with Brian Yavorsky from Imagenet.

Learn more about Imagenet: https://www.imagenetglobal.com/

Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.

And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.

Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.

Imagenet is a proud sponsor of Healthcare Scene.

In a recent video interview, Brian Yavorsky, CTO at Imagenet, discusses how the company helps payers use AI and other data technologies to achieve efficiencies. Emphasizing the difficulties in getting skilled staff, Yavorsky says that automation can reduce labor not by removing people, but by automating areas that are difficult to staff.  Plus, by automating the mundane tasks you allow staff to work on higher value tasks that they enjoy more.

Many payers are burdened with legacy systems and workflows, especially after acquiring other companies. Although the systems work individually, the fragmentation in systems and data introduces inefficiencies and requires more manual work, which adds to costs and slows payer responses.  Organizations that don’t address this fragmentation suffer from inefficient processes and often can’t benefit from new AI technologies.

When looking at addressing legacy technology at payer organizations, Yavorsky does not favor the “big bang” approach to replacing everything at once because it can take operations offline and requires resources that payers might not have. Instead, he recommends taking “smaller bites of the apple,” and modernizing in very specific areas.  This step-by-step approach to modernizing your payer operations allows leadership to see the success of the IT project early so they’ll continue to invest in modernization efforts.

When it comes to leveraging AI with payers, AI offers opportunities especially in handling exceptions to the rules, which normally require the most human labor: “high frustration areas” as Yavorsky puts it. Any problems in process become more expensive as one gets later in that process. So automation can help reduce rework in claims, communications, and risk reduction by helping the payer address problems early in the process.

If you’re an organization looking to modernize your operations and benefit from AI, you’ll enjoy our interview with Brian Yavorsky from Imagenet.

Learn more about Imagenet: https://www.imagenetglobal.com/

Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.

And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.

Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.

Imagenet is a proud sponsor of Healthcare Scene.