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
Helping Accountable Care Organizations Navigate the Perfect Storm
In the ever-evolving landscape of healthcare, Accountable Care Organizations (ACOs) find themselves at the epicenter of a transformative era. Recently,…
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Navigating the Medicare Landscape: Implications of the Latest Rule Changes for Healthcare Organizations
The Centers for Medicare & Medicaid Services (CMS) has recently unveiled significant proposed changes to Medicare Advantage (MA), Medicare Prescription…
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Introduction to social risk: What healthcare leaders need to understand
‘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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