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.
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Proactively predicting ER visit trends with augmented analytics to improve revenues, asset utilization and patient outcomes
Mission critical emergency departments (EDs) are the most valuable revenue generating asset for hospitals. While visits decreased during the pandemic,…
Best practice tools to build an integrated approach to multimorbidity
The traditional model of treating single diseases no longer works. Data collected from 2016 to 2019 indicated that 32.9% of…
Will adopting a risk-based approach with augmented analytics support care gap closure?
A common challenge for healthcare systems is how to properly segment its patient populations based on risk profiles and co-morbidities. Doing this well ensures a high quality of care delivery and superior patient outcomes.

