Neil I. Patel

Right now, if you use a standard MRI machine and you have some images taken and somebody reads them, gives you a diagnosis, something happens and they were wrong, you would sue the doctor, right? That's very clear. You're not going to sue the tool that they used.

Right now, if you use a standard MRI machine and you have some images taken and somebody reads them, gives you a diagnosis, something happens and they were wrong, you would sue the doctor, right? That's very clear. You're not going to sue the tool that they used.

Once the tool starts making decisions or assisting in making decisions even, there's a chance that the liability lies with Philips because Philips has started to make medical decisions because of the data it has. Have you assessed that risk? Because it seems like a growing piece of the puzzle. More and more of these systems are automated. We need to reallocate the liability.

Once the tool starts making decisions or assisting in making decisions even, there's a chance that the liability lies with Philips because Philips has started to make medical decisions because of the data it has. Have you assessed that risk? Because it seems like a growing piece of the puzzle. More and more of these systems are automated. We need to reallocate the liability.

Once the tool starts making decisions or assisting in making decisions even, there's a chance that the liability lies with Philips because Philips has started to make medical decisions because of the data it has. Have you assessed that risk? Because it seems like a growing piece of the puzzle. More and more of these systems are automated. We need to reallocate the liability.

We've only got a few minutes left, and I want to come back to something you said at the very beginning of the conversation, which is part of the journey for Philips is now going home with the customer, being with the patient, providing more care in all the places. I see the big tech companies trying to do it. I'm wearing an Apple Watch. This thing desperately wants to be a healthcare device.

We've only got a few minutes left, and I want to come back to something you said at the very beginning of the conversation, which is part of the journey for Philips is now going home with the customer, being with the patient, providing more care in all the places. I see the big tech companies trying to do it. I'm wearing an Apple Watch. This thing desperately wants to be a healthcare device.

We've only got a few minutes left, and I want to come back to something you said at the very beginning of the conversation, which is part of the journey for Philips is now going home with the customer, being with the patient, providing more care in all the places. I see the big tech companies trying to do it. I'm wearing an Apple Watch. This thing desperately wants to be a healthcare device.

Right. I mean, they've got some FDA clearances for some of their functions or some things they want to do they can't figure out, like glucose monitoring. Samsung has fake metrics in its smartwatch that they won't even tell us what they mean. This is the frontier, right? Wellness in this country in particular feels like a frontier. It's somewhat unregulated.

Right. I mean, they've got some FDA clearances for some of their functions or some things they want to do they can't figure out, like glucose monitoring. Samsung has fake metrics in its smartwatch that they won't even tell us what they mean. This is the frontier, right? Wellness in this country in particular feels like a frontier. It's somewhat unregulated.

Right. I mean, they've got some FDA clearances for some of their functions or some things they want to do they can't figure out, like glucose monitoring. Samsung has fake metrics in its smartwatch that they won't even tell us what they mean. This is the frontier, right? Wellness in this country in particular feels like a frontier. It's somewhat unregulated.

It is mostly full of quackery, from what I can tell. But there's a lot of data you can collect and synthesize into some advice, into some outcome. You can sell subscriptions to mattresses that keep you cool at night. There's just a whole universe of stuff that isn't very well proven. Philips has the brand, right? You're in the hospital and now you might go home with a customer.

It is mostly full of quackery, from what I can tell. But there's a lot of data you can collect and synthesize into some advice, into some outcome. You can sell subscriptions to mattresses that keep you cool at night. There's just a whole universe of stuff that isn't very well proven. Philips has the brand, right? You're in the hospital and now you might go home with a customer.

It is mostly full of quackery, from what I can tell. But there's a lot of data you can collect and synthesize into some advice, into some outcome. You can sell subscriptions to mattresses that keep you cool at night. There's just a whole universe of stuff that isn't very well proven. Philips has the brand, right? You're in the hospital and now you might go home with a customer.

There's all kinds of things you might do. Where's the line for you?

There's all kinds of things you might do. Where's the line for you?

There's all kinds of things you might do. Where's the line for you?

But do you think that data is good enough? Because this is the, this is the, I think the challenge, right? Yeah. That there's a lot of consumer level data being collected and it might not be good enough to lead to clinical outcomes.

But do you think that data is good enough? Because this is the, this is the, I think the challenge, right? Yeah. That there's a lot of consumer level data being collected and it might not be good enough to lead to clinical outcomes.

But do you think that data is good enough? Because this is the, this is the, I think the challenge, right? Yeah. That there's a lot of consumer level data being collected and it might not be good enough to lead to clinical outcomes.