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
Do’s and do nots of clinician engagement
Engaging clinicians in organizational initiatives can be challenging. They are already balancing a plethora of priorities pulling them in different…
Read on...
What you need to know before approaching clinicians about quality improvement
Before attempting to engage clinicians in quality improvement initiatives, you need to know how you’re going to answer two of…
Read on...
How big data, AI and automation are transforming patient access
The healthcare industry celebrates Patient Access week once a year in April, recognizing hardworking staff and significant advancements in this…
Read on...
You can’t spell value-based care without clinicians
In advance of her panel participation at the 2023 RISE Qualipalooza, we sat down with Vice President of Product Consulting…
Read on...