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
COVID-19 and the Financial Storm Ahead for Providers
Across the country, healthcare organizations are seeing 40%-80% declines in monthly charges with some of the most profitable services lines only seeing 20% of their normal monthly volumes during the pandemic.
Read on...3 Steps Any Healthcare Organization Can Take to Improve Enterprise Analytics
By Kristin Weir When it comes down to the most basic purpose of why organizations use analytics, it’s simple: they…
Read on...Why Predictive Analytics is the Answer to Healthcare’s Big Data Problem
By Scott Hampel Making improvements in healthcare data analytics has the potential to lead to significant cost savings and improved…
Read on...Unfamiliar Healthcare Players, Interoperability and Social Determinants Round Out 2020 Megatrends
By Scott Hampel, president of MedeAnaltyics We conclude our 2020 Megatrends with an exploration of new players entering healthcare, the…
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