The Top Use Cases of AI in Hospitals


During this panel, industry experts (showed above) discussed the top use cases of AI in hospitals. We’ve included a short transcription of the panel, beginning at 16:11 of the webinar.

Watch the full webinar here.

Christopher Hutchins, Northwell Health System: I see a question with regard to significant AI use cases and how we’ll be able to predict things in the future using AI capabilities. I think from a real life scenario that we’re dealing with right now is how AI and machine learning might help to alert us that there are things to pay attention to with regard to a resurgence of COVID-19. 

One thing I will say from the medical professionals I’m hearing from at the moment, there is so much that we don’t know around how this disease progresses and morphs. It’s hard to understand how we’ll be able to leverage this technology in meaningful ways at the moment that we’re in right now. It doesn’t mean that there aren’t any – I’m sure the trick will be looking at what are the indicators that we can prove are really meaningful and early enough that we can be proactive on some level than how this hit us where overnight we’re in crisis mode. Any thoughts around that it’s really starting to think about? We should start to think about some of these cases as well.

Michelle Stansbury, Houston Methodist: Yeah, I agree with you Chris. It’s probably the hundred dollar question. How can we better utilize the data that we have today to better understand how we can predict when something like this can happen? I do think using all the data that we’re going to have that has come out of this pandemic to better help us is crucial. I will tell you at Houston Methodist, the use case that we had where it was beneficial was our virtual ICU that we had stood up. We had planned to roll it out in a two-year fashion across all of our institutions.

The platform that we chose was extremely beneficial. One, it was the algorithms associated within the platform that we helped with development overall with the organization to help us better determine the deterioration of these patients. Then also, the virtual aspect of it. It was able for our hospilus and some of our physicians not to have to go into these rooms to really take a look and see what was going on with these patients.

It takes time to get on up and takes time to be able to put in all the PPE and sometimes you just need to be able to get to the data and look at the patient and see what’s going on. But in the future I would say, for us at Houston Methodist, we had been working and we had actually tried with one vendor on a product for ED search and trying to determine when the surges were going to be coming into the ED, which I think is going to be very prevalent going forward and seeing what’s happening with some of these patients. 

So, one product that we have didn’t do so well, we learned a lot from that product and have a different product that we are installing. We’ll be bringing it up here probably within the next couple of months and that hopefully will help if during the fall, which I know we’re all hoping that we’re not going to see another spike in anything, but you never know. I do believe with the data and ED search prediction and some of the other data that we’re going to have coming out of this will be able to help us in the future.

Tawyna Infantino, CommonSpirit Health: Another non-COVID related, so not as sexy of a use case, but very much a problem in the healthcare industry are no shows. So when you think about other industries like travel, you have your airlines that double-book quite often based on technology so that they can predict no shows. They assume they’re probably going to have so many cancellations so their flights are still full. You can employ that same model in the clinic setting, which is what we’ve done and we piloted it just primarily in Arizona and with a very small pilot, we were already looking at 500K annually in savings because we were able to double book and keep those schedules full. And that was a very small pilot, so when you think about it, you’ve got a 10 million dollar problem and no shows. In just one use case that was very small, it was able to make a half a million dollar impact.

As you look at doing that across our organization when you’re looking to run a tight business, healthcare is a business as well as it is taking care of people. Healthy people are better off for all of us, but when they do have to come into the clinics, making sure that those schedules are full is incredibly important. So that’s something that we tested out. We’re looking to expand that and this upcoming year, but it’s really important to try those use cases. Start small and see what kind of impact you make and then build on those as you see that they are working. Michelle, that was a great example. Hey, sometimes it doesn’t work, but sometimes it really does and you have to zero in on those very quickly without getting too difficult and complicated like Sri was talking about earlier is incredibly important so experiment a little bit.

Learn more and watch the full video on YouTube: https://www.youtube.com/watch?v=e6s1TS0aiQ8&t


Tags   •   Healthcare

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Posts

Recent Posts

How AI is Revolutionizing Education -   Artificial intelligence has become increasingly relevant in a number of major industries. We read a lot about how it’s…
Three Amazing Ways AI is Revolutionizing Healthcare - It may not seem like it was too long ago when the idea of artificial intelligence playing a major role…
How 5G is Going to Impact AI in Automation Within Telecom - During this webinar, an industry expert discussed how an automation project comes to life from the initial business problem through…
How Automation Projects Come to Life in Telecom - During this webinar, an industry expert discussed how an automation project comes to life from the initial business problem through…
The Future of AI in Marketing - During this webinar, industry experts discussed where AI in marketing was heading in the future. We’ve included a short transcription…
How AI Has Changed Marketing - During this webinar, industry experts discussed how AI has changed the marketing industry. We’ve included a short transcription of the…
Key Takeaways From Ai4 2020 - Artificial Intelligence Creates the Demand of Innovation, Autonomy, and Personalization Amidst a Crisis There is a seemingly quiet, yet enormous…
Computer Vision Versus Other ML Projects - During this webinar, industry experts discussed computer vision projects versus other machine learning projects within an enterprise setting. We’ve included…
Computer Vision in the Enterprise - During this webinar, industry experts discussed if computer vision computer is commonplace within enterprises that have machine learning models in…
How AI is Enabling Banks to Provide a Better User Experience - During this webinar, industry experts discussed how AI is enabling banks to provide a better user experience for having both…

Popular Posts

Does Healthcare AI Meet Basic Ethics Principles? - Ingrid Vasiliu-Feltes Chief Quality and Innovation Officer MEDNAX, Health Solutions Partner Over the past decade we have noticed an exponential…
Machine Learning and Artificial Intelligence in Banking - Artit "Art" Wangperawong Distinguished Engineer US Bank Introduction Every company’s AI journey is different. We’re all trying to figure out…
Machine Learning for Pricing and Inventory Optimization @ Macy’s - Jolene Mork Senior Data Scientist Macy's Iain Stitt Data Scientist Macy's Bhagyesh Phanse VP, Data Science Macy's Overview In this…
Artificial Intelligence & Cybersecurity: Math Not Magic - Wayne Chung CTO FBI Introduction The field of cybersecurity has slowly progressed from an art to a science. It has…
AI/ML in Investment and Risk Management: Recent Applications, Use Cases, and Implementation Challenges - Arvind Rajan Managing Director - Head of Global & Macro PGIM Fixed Income Introduction Investing is a completely different ballgame…
Top AI Conferences - Interested in learning the latest in AI this year? We’ve compiled a list of the top artificial intelligence conferences in…
Machine Learning in Production: From Research to the Customer - Ameen Kazerouni Lead Data Scientist Zappos Overview In this presentation Ameen Kazerouni, the Lead Data Scientist at Zappos, walks through…
How COVID-19 is Impacting the State of AI in Banking - On this panel, industry experts (listed above) discussed The State of AI in Banking and how COVID-19 is affecting it.…
“Ask Me Anything” with Zappos’s Head of AI/ML Research & Platforms, Ameen Kazerouni - Ameen Kazerouni Head of AI/ML Research & Platforms Zappos Family of Companies Ai4 recently hosted an "Ask Me Anything" session…
The Autonomous Pharmacy: Applying AI and ML to Medication Management Across the Care Continuum - Ken Perez VP of Healthcare Policy Omnicell, Inc. Ken applies artificial intelligence (AI) and machine learning (ML) solutions to medication…