How to Use AI to Improve Patient No Show Rates

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  • Опубліковано 3 чер 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
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КОМЕНТАРІ • 8

  • @leoniaklebanov2502
    @leoniaklebanov2502 2 дні тому

    Awesome explanation, with real-time example

  • @ArturMusin
    @ArturMusin 2 місяці тому +2

    That was very insightful ❤

  • @hetastuff8591
    @hetastuff8591 2 місяці тому +1

    This is very helpful

  • @DNADietClub
    @DNADietClub 2 місяці тому +1

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

    • @dwoodlock
      @dwoodlock  Місяць тому

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

  • @DanielS-cu2ic
    @DanielS-cu2ic 3 місяці тому

    What’s the transparent whiteboard you are using?

    • @keaganvanzyl9249
      @keaganvanzyl9249 2 місяці тому

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

    • @dwoodlock
      @dwoodlock  Місяць тому

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