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
Success Story: Hoag Memorial Presbyterian Hospital engages physicians in continuous performance improvement initiatives
Physicians are constantly balancing numerous priorities and being pulled in various directions. Though performance growth and clinical documentation improvement are…
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Success Story: Large, Customer-Owned Health Plan Deployed automated, detailed reporting to exceed client expectations
The Challenge This health plan had quickly expanded to over 15 million members in five states. As a result, the…
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COVID-19 affected risk scores and quality outcomes: Here’s what you can do about it
As value-based payments continue to grow, provider organizations and health plans are relying more and more on predictive modeling of…
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Success Story: How UF Health tackled analytics challenges to improve revenue cycle efficiency
A significant amount of waste and financial loss within healthcare organizations can be attributed to inefficiencies within daily processes and programs. Realizing…
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