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
Too many vendors, too little alignment: The challenge holding health plans back
Health plans don’t have a data problem. They have an action problem. Information from multiple domains, including claims, medical management, finance, network operations, quality,…
Read on...
Becker’s Payer Issues Webinar: Disconnected analytics are holding back payer MLR performance
The growing pressure on payer performance Healthcare organizations have more data than ever before yet achieving meaningful performance improvement has…
Read on...
MedeAnalytics brings actionable insights to the Becker’s Spring Payer Issues Roundtable
The healthcare industry has reached a pivotal moment. Rising medical costs, tightening margins, increasing regulatory pressure, and the continued shift…
Read on...
What we heard at HIMSS26 and what it means for healthcare leaders
The HIMSS Global Health Conference & Exhibition returned to Las Vegas in March 2026, bringing together thousands of healthcare leaders,…
Read on...