How to Use AI to Improve Patient No Show Rates

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
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[@ArturMusin]

That was very insightful ❤

[@hetastuff8591]

This is very helpful

[@DNADietClub]

How are you writing on glass, what glass board is this Sir ?

[@dwoodlock]

It's a product from Revolution Lightboards. We love it.

[@DanielS-cu2ic]

What’s the transparent whiteboard you are using?

[@keaganvanzyl9249]

glass then just flip the video so the text is the right way round.

[@dwoodlock]

It's a Revolution Lightboard. It's a very nice product.