Healthcare Organizations Recognize Importance of AI for Reporting
Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:
- Automate routine, repeatable data analysis;
- Create data insights delivered directly to users;
- Build analytics, such as chatbots;
- Posit “what if” scenarios; and
- Identify data clusters, forecasting and anomalies using algorithms.
The final installment of MedeAnalytics President Scott Hampel’s series on the evolution of manual reporting to AI-powered business intelligence is available now. He discusses how AI is the ultimate tool to help healthcare organizations understand and act on their voluminous data.
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Why Social Determinants Need Analytics for Success
Many challenges face healthcare’s underserved. There are issues with food, housing, reliable transportation, steady employment and more. Each contributes to and is one element of social determinants of health (SDH). In communities around the world, public and private organizations are taking steps to address SDH-related issues and challenges that negatively impact healthcare.
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Healthcare Organizations Recognize Importance of AI for Reporting
Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:
Read on...
Why It’s Time for Healthcare to Move Toward AI Reporting
Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.
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Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting
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.
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