How to Use AI to Improve Patient No Show Rates
Vložit
- čas přidán 22. 05. 2024
- How can you use machine learning to reduce patient no-show rates?
This is a headache for hospitals and clinics. No-shows are lost revenue and overcoming it can be expensive and chaotic - either with additional FTE headcount or by overbooking time slots.
This is a really great use case for machine learning. In this case, it’s a form of Tabular AI, not Generative AI, but still interesting I think.
So how do you do this? What are the most important features in building the model? And how can a hospital or health system embed it into their existing workflow?
You’ll have to watch below in today’s edition of #CodetoCare, my video series on AI & ML, to find out! I’m sharing an in-depth case study in the video.
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 #genai
Check out my LinkedIn: / donwoodlock
---
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: www.intersystems.com/
CZcams: / @intersystemscorp
LinkedIn: / intersystems
Twitter: / intersystems - Věda a technologie
That was very insightful ❤
This is very helpful
How are you writing on glass, what glass board is this Sir ?
It's a product from Revolution Lightboards. We love it.
What’s the transparent whiteboard you are using?
glass then just flip the video so the text is the right way round.
It's a Revolution Lightboard. It's a very nice product.