How AI is Shaping the Future of Smarter Hospitals
As healthcare continues to evolve, the integration of artificial intelligence (AI) is becoming increasingly important. From addressing workplace violence to providing clinical assistance and enhancing quality improvement, AI has the potential to transform patient care significantly.
One exciting concept emerging is “vision AI,” which humanizes technology by focusing on the ability to see and understand patient needs. This approach allows healthcare professionals to utilize AI on a larger scale, enhancing the quality of care for numerous patients simultaneously.
A critical area where AI can make a difference is in clinical prediction. For instance, the development of tools like delirium spotters can lead to earlier identification of patient needs, which is crucial for effective treatment. Additionally, AI can simplify complex assessments, such as daily evaluations for sepsis alerts, by automating calculations and monitoring.
By harnessing these advancements, we can identify and address the myriad challenges nurses face in providing care. The goal is to streamline processes and support nurses in their vital work, ultimately improving patient outcomes. As we look forward, it’s clear that the potential for AI in healthcare is just beginning to be realized, paving the way for smarter hospitals and a brighter future for patient care.
Listen to Holly Lorenz, Narinder Singh, and Tiffany Wyatt explore the potential of AI care applications to create a ‘smart’ hospital.
Video Transcript
Narinder Singh:
These are just a few of the examples that are kind of moving beyond the initial piece that we could start to think about from workplace violence to clinical assistance to qi, to eventually real predictive algorithms that say, Hey, I’m going to do your mobility assessment and then you can check it just like we do with flow sheets today. Having the opportunity of saying, we’re going to find the thousand little things that make it hard to take care of your patients and we’re going to provide assistance in that. And so this is a great time for your long list of things. Are there things that you think about in this context of I can’t wait until AI can do this to help my nurses?
Holly Lorenz:
Well, I think it’s important you use the technology term vision ai, and I love that. That’s what look deep uses to me. It humanizes AI just a little bit because it’s about the vision. And so that is a human trait and it allows us to see how that can be applied to great numbers of patients in very scalable. When I look at clinical prediction, one of the things that we don’t think of enough, and you mentioned it with the blinds and things, is the delirium spotter. There are absolutely assessment tools for delirium, but if I can do that, for us, it is so much of an earlier identification, which is key to the resolution and treatment septic alerts. When we think of the sepsis alerts that we’ve seen before, just think of someone calculating that yourself, not having to do a daily assessment of six different clinical items that you’re looking at. There is so much that we have not explored. And so I love seeing the looking at how you move this to a smart hospital perspective.