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
Enterprise analytics for Medicare Advantage: Why unified intelligence is the future of MA performance
Medicare Advantage organizations are facing growing pressure to improve quality outcomes, optimize financial performance, reduce compliance risk, and deliver better member experiences, all…
AHIP26: Turning healthcare complexity into measurable performance
Health plans are navigating rising medical costs, intensifying regulatory demands, margin pressure, evolving member expectations, and growing operational complexity, all…
Why “good” isn’t good enough: The hidden cost of sub-4 Star Medicare Advantage performance
Healthcare outcomes have never mattered more, and achieving exceptional performance has never been harder. Many mid-to-large health plans are below the 4-Star threshold in Medicare Advantage (MA).…
From conversation to coordination: Key takeaways from OpsIgnite 2026
OpsIgnite 2026 brought together operational leaders from across the Blues ecosystem for four days of candid conversation, practical insights, and…