Philips Ceo Jeff Dilullo on how Ai is changing healthcare today

AI is quietly response the efficiency, power, and potential of us healthcare, even as government health policy and spending drustically shift. Philips, The Legacy Electronics Manufacturer Turned Medtech Provider, is leading the ai health revolution, streamlining and accelerating the workflow of Patint Care. Philips North America Ceo Jeff Dilullo Shares How Technology Can Have The Biggest Impact Rethank the way we work to best meet the moment.

This is an abridged transcript of an interview from Rapid ResponseHosted by the former editor-in-chiff of Fast company Bob Safian. From the team behind the Masters of scale Podcast, Rapid Response Features Candid Conversions with Today’s Top Business Leaders Navigating Real-Time Challenges. Subscribe to Rapid Response Wherever You Get Your Podcasts to Ensure You Never Miss An Episode.

AI seems to be changing everything. There’s a lot of talk about it, but in some businesses, I feel like the conversation about it is ahead of the actual implementation or the impact, and i’m curious how true that might be in medtechch. How is Ai impacting things now, today, versus what you think it can do in the future?

If you Remember, we release the future of health index. One of the things that we realized is that ai, in some of these compartments I’m talking about, is quite mature. FDA Clered, very safe for clinical use. Other Areas, it’s More Experimental. But the Trust Factor of the use of that AI is actually quite nascent. It’s the biggest barrier right now to larger scale deployment.

Yeah. That health index that you mentioned, the 2025 future health index, i mean, there was this so is trust gap in it, right? That somebing like 60, 65% of Clinicians Trust AI, but only about a third about a third of patients or certainly older patients do. How do you bridge that gap? Is it philips’s job to bridge that gap? What Job is it?

So I have the benefits of having two gen zs and a millennial, they are digitally fluid. They don’t worry at all about the ai models that are coming on the other side of this trust they’re used to it and they undress it. Older Patients, Not So Much. The magic is always the healthcare practice that’s directly interfacing with the customers or the patients. If they believe what they doing, if they know it’s credible, if they using it to augment their analysis or their diagnostics, not replacing it, I Think Ultimately We’ll SEE an uplift. It’s our job to provide Valid FDA-Cleed, very good diagnostic capability Leveraaging ai. But if our doctors and nurses believe what we doing and they see the value in increasing their time with patients and also a litle de-stressing, we think it’s going to really pick up in a parabolic way in the next Years, at least in health.

I can understand and see how ai can Quickly help some of the back office functionality in health How dos that practically work today?

So i’m going to give you, let’s talk radiology. It’s the biggest field right now, diagnostic, right? The earlier the diagnostic, the better the outcome most likely. And when I think of a radiologist, I have to wait a month and a hal. I’m in a pretty nice part of Vanderbilt University Area, Like a Lot of Health Tech Around Me in Nashville, but I’ve Got to Wait over a month to get a scan. So in radiology, we start with the box or the design, right? I have an Mri that is highly efficient. I can move it organ, I can put it on a truck. But today, I can get a scan in half or even a third of the time. The AI Built Into The System Software Makes It Much Faster. Just a few months ago, I had a scan that took only 20 minutes – WHERES A Couple of Years ago, The Same Scan Would have taken about 45 minutes. The smart speed that we have on the system actually compresses the scanning time. It does not fill in the blanks, it removers the noise.

You actually get a better scan in a shortr time. If you’re a radiologist having to do 12 or 15 studies a day, but you can do 20 study a day, I get more patients through, I drive more reimbursment, it’s better for the hospital, it’s better for pattern care. Then I take it into workflow, and today I can pinpoint things that are happy in that digital image and send it to a radiologist and say, “You should look here,” in just very simple sphek. It’s very complicated stuff, but the ai is alredy mainstream today where we can actually pinpoint areas for radiologists to look at and make a determination. I can digitize the whole process today with digital pathology. And I can have a finding where somebody’s waiting, do I have cancer or not? I can do this in hours now believe it’s all digital. And that kind of workflow and orchestiation is a game changer.

And the issue of ai hallucinations, which show with some with some of the general ai things, does that apply to healthcare? Are there different kinds of safeguards? Because I guess there”s a human who’s checking.

There’s so many things today, like smart speed I just talked about, being able to run Radiology workflow to compress the time of diagnostics, run the tumor boards in hours, on- Demand Meetings LIKENS LIKES would on zoom or teams, all of that is happy My point is, go do that right now. Every Health System, Go Do that. As you start to unpack these more generative ai models, I think there’s real reason to be cautious and make sure we have the right controls and the governance on them, but not experimenting in them also them also. We kind of have to. But we see leading institutions, MGB, Stanford, Mount Sinai in New York, We see them really work with population health data to really try to train models on very special and even broad use. There’s so much to do right now.

In other words, you don’t have to go all the way out to the silver bullet of, we’re going to live forever or we we’re going to solve every health problem. You can make the system we have right now more efficient and more effective today.

Bob, when you first drave a car, was the first thing you did to go to the autobahn? Probably not. There’s so much to do in the neighborhood. There’s so much to do in my town that I can really get good at what we doing and drive production at scale. You need to have the innovation and the creativity to get us to the next place, but 80% of it we can do today. That is just game-chunging in terms of how we delivery today, and that’s what we think is really the next options here for healthcare. And i think that’ll Haappen with what’s mature in ai and virtual capabilities in the next few years being the need the need is so great.