The number of patient portal messages have increased 30% over the past few years. How can AI & ML help hospitals deal with the large volume of patient messages?

In today’s edition of my Code to Care series, I’m exploring a specific use case for these technologies inside healthcare providers.

AI & ML tools can help health systems create faster response times, more empathetic messages, and a more efficient workflow.

How can they do this? Who’s already implementing this? Well, you’ll have to watch below to find out!

If you have any specific questions, drop them in the comments. I’m enjoying your input, and I might even make a video responding to them.

#AI #artificialintelligence #codetocare

Check out my LinkedIn:   / donwoodlock  

0:00 - 1:10 - Introduction: Overview of AI Enhancements for Patient Portals
1:10 - 2:30 - Identifying Problems: How AI Resolves Patient Portal Issues
2:30 - 6:00 - Implementing AI Urgency Tagging for Improved Patient Care
6:00 - 8:30 - AI-Driven Response Proposals: Streamlining Patient Communication
8:30 - 10:00 - Automating Workflows: Integrating AI in Healthcare Operations
10:00 - 11:27 - Recap and Conclusion: The Advantages of AI in Patient Portals

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ABOUT INTERSYSTEMS

Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe.

InterSystems Corporation is ranked by Gartner, KLAs, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.

Website: https://www.intersystems.com/
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LinkedIn:   / intersystems  
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