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
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.
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4 questions healthcare executives are asking about augmented analytics
At our annual Impact Summit, I had the privilege to talk about augmented analytics and address questions from healthcare executives—many…
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Using data analytics to combat the maternal health crisis
With most pregnancy-related deaths being considered preventable, why is the United States facing a maternal health crisis? The country’s maternal mortality rate is the highest of any developed nation in the world and more than double the rate of peer countries.
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Q&A with Dr. Lyle Berkowitz: Diving into the future of AI, analytics and precision medicine
Estimated reading time: 4 minutes After an excellent keynote session led by Dr. Lyle Berkowitz at our 2022 Impact Summit…
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