Philips North America's Jeff DiLullo Talks AI in Healthcare

**SPEAKER_1** (0:02)
Bloomberg Audio Studios, Podcasts, Radio, News.

**Carol Massar** (0:07)
In the meantime, we want to continue with AI. Philips 11th Annual Future Health Index, it is out now.
It examines how AI is already changing the way clinicians work, how they deliver care and manage pressure across the healthcare system. Now among its findings, how healthcare executives are discovering that AI just isn't about cost savings. So let's get into it. Jeff DiLullo is CEO at Philips North America. He is the largest regional market and division of the Dutch health tech company, giant Philips NV. Those ADRs trade in the US, they're done about 3% year to date. As we said, Jeff joins us in here in studio.

**Jeff DiLullo** (0:40)
Welcome, welcome.

**Carol Massar** (0:40)
How are you?

**Jeff DiLullo** (0:41)
I'm wonderful. Thanks for having me.

**Carol Massar** (0:43)
Well, it's good to have you here. We do feel like we are spending so much time talking about AI. It's just coming into every aspect of our world. Tell us though about the study that you guys do. It is your 11th annual. What it's all about, who you talk to, and what are some of the findings?

**Jeff DiLullo** (0:58)
Thank you for having me, Carol. I want to set the table here very quickly because I talk to health care CEOs on a weekly basis. The same three things always are putting pressure on that system, as you said. They're delivering more care longer to people that are living longer, and that complexity of that care is increasing. So that's actually putting stress on the system. They have staff shortages which continue to persist and get worse post-pandemic, and then the cost of delivering that care is actually continuing to go up. So all those three things are really putting stress on the system. But the opportunity that we see is AI in health care is becoming quite of age. Where a year ago in the study, roughly 20,000 people, 2,000 clinicians, 18,000 patients.
And what we saw from year to year is they've gone from experimenting and piloting an AI applications to much more broad adoption and impact. Impact in time back they can spend with patients, impact in quality diagnosis, and impact in well-being. And they've been very clear about that in the study.

**Emily Graffeo** (1:56)
What do those AI applications in health care actually look like in practice?

**Jeff DiLullo** (2:02)
So I'll give you a simple example that everybody can relate to. So the average physician in the study said that they're getting five more patients per week because of tools that they're deploying in their practice. So when I go to my general practitioner, I get maybe 10 or 15 minutes if I'm lucky with him for my, and most of that time, it's sitting on the keyboard asking me questions, right? What we're seeing is they're getting a chance to ambient speak what they're talking that dialogue. It's translating it into the medical record. So what they're doing is they're spending time looking you in the eye, asking you more questions. That's better for more patients they can see because they're spending quality time in the room, or maybe even more patients like we're seeing.

**Carol Massar** (2:42)
Do doctors feel or medical professionals, Jeff, feel that we are just barely scratching the surface when it comes to AI and healthcare?

**Jeff DiLullo** (2:50)
Yeah, a prudent approach is good because we want to make sure that you have responsible AI deployment and we're hugely, as a tech company, we want to make sure it's responsible. But I actually think we're the scraps at the table and the feast is yet to come.

**Carol Massar** (3:02)
What do you think that feast looks like?

**Jeff DiLullo** (3:03)
So take the life of a radiologist. So the average radiologist has to work all day, cease patients, maybe do procedures. Then they take all these studies, 200 studies home at night, and they have to go through these studies. That's pajama time.
That's long days for radiologists.

**Carol Massar** (3:17)
Which makes me always nervous as a radiologist, you might be tired.

**Jeff DiLullo** (3:20)
Exactly.

**Carol Massar** (3:21)
And reading my...

**Jeff DiLullo** (3:23)
Exactly. So you have these long days, they're stressful.

**Carol Massar** (3:25)
And I know there's great doctors out there, so I don't want to diss the profession.

**Jeff DiLullo** (3:28)
No, but the system is not meant for them to have balance. And so what we're seeing is AI in the pathway.
If you don't think of AI as a bunch of point solutions that do discrete things, in healthcare, it has to fit to the radiologist. It has to fit into their workflow. So I can scan somebody with great AI much faster. I get it into their workflow. I can determine who the most important person is to look at. I can find the slices in their scan that are the most important things to look at and even recommend, we think it looks like this, you should look right here. If you can do that at scale for 200 studies a day, you're dramatically improving quality of life. That radiologist in the study, a third of them say they take a lot less work home and they're suffering less burnout and they're just charged in their balance. That also adds to quality exactly like you're saying.