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
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‘Social determinants of health’ has been a common phrase for decades now, but the term social risk is much less…
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AI is your new crystal ball: How predictive analytics can 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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3 ways to reduce friction in payer-provider relationships
The dynamic between healthcare providers and payers has historically been quite strained. Though both parties are interested in improving the…
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Position your organization for success under CMS-HCC V28
The transition from CMS-HCC V24 to V28 heralds a significant shift in risk adjustment methodologies and emphasizes improved accuracy and…
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