Medical Economics November 15, 2024

Key Takeaways

  • AI in healthcare, especially in scheduling, uses machine learning to predict patient needs and optimize schedules.
  • Traditional scheduling methods are inefficient, causing prolonged wait times and increased staff stress.
  • AI-driven automation reduces no-shows, prioritizes patients, and enhances productivity, addressing staffing shortages.
  • A case study shows AI-optimized scheduling can uncover potential revenue increases, exemplified by up to $1.8 million.

This eBook will walk readers through what AI is and highlight how AI is transforming healthcare, especially in patient scheduling. AI solutions like Veradigm’s...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Patient / Consumer, Provider, Technology
This Generative AI Prompting Technique Uses Multiple Expert Personas To Derive First-Class Answers
Open-source DeepSeek-R1 uses pure reinforcement learning to match OpenAI o1 — at 95% less cost
AI Explained: What Is a Large Language Model and Why Should Businesses Care?
Using Blockchain to Build Customer Trust in AI
The Download: AI’s coding promises, and OpenAI’s longevity push

Share This Article