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
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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The missing piece to your Population Health strategy: A prescription for maximizing pharmacy data
The healthcare industry is swimming in data; sometimes organizations can even feel like they are drowning in available information. To…
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Data, analytics and AI-enabled healthcare: Four key takeaways from the IS22 keynote
The 2022 Impact Summit (IS22) was outstanding for a plethora of reasons—and Dr. Lyle Berkowitz is foremost among them. For this year’s keynote, Lyle…
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