Insurers and Healthcare Providers Find Common Ground in Population Health Data

Earlier this month, I spoke with Henry Powderly, Editor-in-Chief of Healthcare Finance News to discuss the major shift in the healthcare industry with population health management. Henry and I focused on the growing payer and provider collaboration and how MedeAnalytics is adapting to meet the needs of our customers. Here are a few key takeaways from our conversation:

“While payer-provider collaboration has long been important, new trends in managing population health data is strengthening that relationship as never before, and in many ways it's changing how providers think.

A growing number of payer clients are leveraging the exact same data, but they're asking questions in a different way, adding that the company has seen more insurers sign on as clients recently.

On the financial side, providers are looking for ways to make their fee-for-service business more efficient, increasing revenue. Meanwhile, insurers can use the data to spot highest utilizers of care to measure that against their premiums and negotiated payment rates with healthcare providers.

But what's really interesting is that it's the providers who are starting to think like payers as the industry move towards value-based care and population health.”

Within our client base we are seeing them target specific data points to mitigate cost and risks, specifically: 

“Many payer clients want to track pediatric prescriptions of asthma medicine albuterol in a certain state, looking to find out which children hadn't filled their prescriptions in the past three months.

The way the payer thinks about it is: If those children don't fulfill that $20 script then we'll apply predictive analytics to determine how many of those kids are going to end up in the emergency room. Then there can be intervention and the payer saves on a $1,500 ED visit.

That's the kind of thinking payers have long held, since unnecessary hospitalizations meant they had to shell out cash for medical care that could have been avoided. But that's not how providers traditionally thought under fee-for-service.

Not to sound harsh, but in the past it wasn't part of the business model for the provider to care about whether that kid fulfilled that script because when they showed up in the ER the provider was going to get paid for it. But today in value-based reimbursement, they're going to get paid a single amount of money to manage that child's asthma care. It's now in the provider's best interest to understand who filled that script.”

To learn more about my insights on population health and payer/provider collaboration, read the full Healthcare Finance News article, “Insurers, healthcare providers find common ground in population health data, MedeAnalytics CEO says.”

MedeAnalytics

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Leave a Comment





Get our take on industry trends

Pandemic fuels 2021 healthcare megatrends

Pandemic fuels 2021 healthcare megatrends

February 4, 2021

When I wrote about megatrends last year, the predictions were, naturally, forward-looking. Telehealth, for example, was important because of increased healthcare consumerism and the convergence of technologies to make its use quick and easy for payers, providers and patients.

Read on...

Measuring provider cost and utilization

January 19, 2021

No matter the time of year, payers and providers should work to agree on a shared source of truth when it comes to data. With the recent end of the year, it’s time to celebrate the new year (who isn’t ready to say goodbye to 2020?) and close the books, which includes the reconciliation of any shared savings or losses.

Read on...
Data visualization: A picture is worth a thousand…healthcare data points?

Data visualization: A picture is worth a thousand…healthcare data points?

January 12, 2021

The amount of data produced daily has grown exponentially with nearly 90% of the world’s data generated in the last two years alone. To ensure we can make sense of this data, analysts must find meaningful ways to present the information to their audiences.

Read on...

Crystal ball not necessary: predictive analytics helps health systems reduce denials

September 2, 2020

The idea of having a crystal ball to better understand what claims will be denied is an awesome concept. But one we can’t rely on. Thankfully, we have predictive analytics to take the place of a crystal ball.

Read on...