Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting
Not understanding data often is the difference between success and failure.
- Between positive and negative health outcomes.
- Between improving and worsening patient satisfaction.
- Between increasing or decreasing revenue.
Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born. After the advent of reporting, healthcare organizations looked to business intelligence to understand and act more quickly on the information created by data.
A new three-part article by MedeAnalytics President Scott Hampel focuses on reporting trends in healthcare. Learn why healthcare organizations must transition from manual reporting to AI-fueled predictive analytics.
Get our take on industry trends
Pandemic fuels 2021 healthcare megatrends
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.
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Measuring provider cost and utilization
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.
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Data visualization: A picture is worth a thousand…healthcare data points?
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.
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Crystal ball not necessary: predictive analytics helps health systems reduce denials
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.
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