WEBVTT

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Hi, I'm Paul Verschure and together with my colleague, Fernand van Siemens,

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we are speaking today with Alexander Neuken about the role of collaboration

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in the emerging area of digital health.

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As partner and head of the life sciences sector in strategy and transactions

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at Ernst &amp; Young, Alexander leads mergers and acquisitions in pharmaceutical,

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consumer health, and medtech areas.

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We're meeting for the second time now, Alex Neuken. and

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now in the follow-up discussion from our first

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interview we would like to look at a bit more

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detail at the question of of digital health developments in digital health and

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what it really means for the notions and questions around collaboration so so

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alex maybe you can situate a little bit that discussion by saying why why digital

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health is an important topic for you

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and also in your professional activities?

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We are generating a ton of data points every day in hospitals,

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at doctors, in our daily lives that are completely lost.

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They are only individually used for each individual patient, if at all, if at max.

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So, and then they are basically lost because they come, they basically are used

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for a direct interaction between patient and doctor.

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So, I have this and that symptom, I took this and that medication or did this

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and that workout and now this and that hurts.

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This type of information is in an aggregated way very valuable because it allows us to draw.

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Conclusions on certain patterns or development paths for diseases where it's

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far too late to start when this is developed.

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Take diabetes, for example, and the use of sugar.

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If you have.

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Much earlier feedback on your lifestyle and what it means to your health.

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And if you get aggregated data from millions of patients in the world and can

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make more accurate predictions about what behavior is driving which outcomes,

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in theory, we all We all know of that.

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But if you basically live through your life and get pointers and alarm signals

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or warning signals already at a time when you can still do something about it,

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it's much more efficient.

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And also many diseases like Alzheimer's, et cetera, we don't really know the genesis of those.

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We don't know the drivers and triggers. The more data we can collect,

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aggregate, and analyze,

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the better we will get a view on what's actually causing the disease,

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what's the trajectory, what might be early warning signals that you should take

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serious, and on which basis you should consult a doctor or something like that.

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That's one area of connectivity that will create value for the wider community.

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The other area is we have extremely high infrastructure costs for keeping people

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into settings that are built out of brick and mortar.

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So, hospitals, intensive care units, and then all sorts of rehab infrastructures.

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The issue is our system is at a point where we are no longer going to be able

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to afford all of this expensive infrastructure.

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One way to reduce costs is to put people back in their home setting where they

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want to live anyway much more favorably than sitting basically in a bunker somewhere

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and being monitored all the time.

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If you do that with digital tools.

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You enable them to be in their home setting and have the right monitoring of

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their rehab, of their evolution, of their disease, and allow them to go back to a more normal life.

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So that's another area where I think digital health is creating big, big opportunities.

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And then another area is on the diagnostic side.

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If you go to a single doctor with your pain and ask for a diagnosis,

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you may or may not get the right answer.

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There's a lot of potential for human error,

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and maybe not the best-suited person is looking at what has been taken as a

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picture, monitored, or whatever.

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With connected telehealth solutions,

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you can more easily consult the best experts in the the world do much of the

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diagnosis remotely who are not doing anything else but looking at.

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And based on an algorithm that selects the cases that are relevant so you basically

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have a monitoring tool already that basically filters out out of thousand cases

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the five or ten that that really need a doctor to look at.

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Out of the 1,995 are probably standard and can be very easily recognized by a machine.

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And the five where really an expert needs to look at, this can be a Chinese doctor or a U.S. doctor.

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However, he is looking at those. And he's not doing anything else but looking

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at these pictures so that he has comparability.

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And that's his day job. He's being paid for this." That's telehealth.

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That's the opportunity to get the best opinion and the most accurate analysis

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of what the doctor can see.

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Those are three areas, just to exemplify it, where I see value created for the

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patient, for the community by reducing costs,

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for the development of the medical knowledge to address stress disease as better.

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Right. So Alex, there's a little connectivity issue. I don't know if you noticed.

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No, I didn't. I could always hear and see myself very well.

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I don't know if you could. Do you have connectivity hiccups? Yes, a little bit.

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Alexander's voice doesn't get through.

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Okay, fine. But Alex, if there's something on your side you know you can do, but okay.

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We move on. Okay, so there's three areas, right? It's basically big data on the one hand.

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Then we have at-home treatment and diagnostics telehealth.

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So this is also a little bit, if you want, the ambition and dream of digital health.

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But for each of these three, do you have actual examples where this dream has

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been realized in a substantial way?

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Yeah, I think in each field. Field, this is already something that's not just

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kind of 10 years out thinking.

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This is already existing. So in telemedicine, for example, or telediagnostics, such tool exists.

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So there are players who do this. It's just not yet fully established practice.

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There are some hurdles to take.

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Number one is, first of all, the hurdle of we do what we are used to.

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So technology advancement is not coming through if doctors are not willing to adapt and innovate,

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the way they deal with their patients or they do their business.

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Call it business, it is somewhat a passion, probably also, or there needs to

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be, otherwise it's not successful.

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But anyway, the other aspect is that in COVID, we saw a boost in telehealth,

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in the sense that there has been many more applications or many more treatments

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being done remotely, prescriptions being made remotely, and things like that.

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So there was an increase, I don't recall the number, but it was clearly more

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than double-digit growth.

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So probably more than 100% type of growth in that area. So I don't want to point

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to specific names in terms of this is the single company that is doing it.

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But if you look at the collaboration that,

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for example, J&amp;J and Apple have on the applications of the Apple Watch,

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that you can actually get medical grade information out of your watch and use

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that for your monitoring is one example. There are more than that.

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If you take the da Vinci robot for surgery treatments.

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The doctor can sit anywhere in the world and treat you on the robot,

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in particular for very complex and complicated operations where you cannot bring

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the patient to the doctor.

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This is a very interesting way to get the patient treated with really laser-sharp accuracy.

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I've seen this tool myself. I looked at a DaVinci, and it was demonstrated how

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it operates. It's really fascinating.

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You can really millimeter precisely make cuts and everything,

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so it's really super sharp.

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No, I can't hear you. I actually know the DaVinci very well. I've also used it.

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So we have this development of digital health. It's also, if you want,

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disrupting the current organization of how health is provided.

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So how does that change? I mean, does it bring in new stakeholders in the process?

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And how are these stakeholders in the end, if you want, motivated to participate in that process?

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Yeah, of course. And this is clearly at the frontier of innovation and also

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at the frontier of sectors.

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So there is the sharp distinction between health care and tech that's getting blurry.

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So there are new players entering the health universe.

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You saw Amazon and Google entering the space, Apple being interested in the space.

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So the tech players, Microsoft, having a lot of life science activity,

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really genuinely interested in the space and developing their business case for it.

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So you have lots of players that

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you would not naturally associate in the first

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place with health and the health sector are coming

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into into play and they want to play in this

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field big time so that's clearly a shift the classic farmer players play their

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role they are interested in in particular in particular when it comes to new

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payment or reimbursement models for their drugs,

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if you are outcome based paid by the insurance. So if your drug is really only.

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Reimbursed when it helps the patient, you need to have tools to monitor the

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patient health and confirm that robustly to the payer organization.

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So you need to demonstrate that this medication prolonged the life of the patient.

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I mean, it's easy to prove if it cured

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the patient but in many cases cancer treatments

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are not a cure but just a life

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prolongation and how do

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you monitor that and how do you prove that your

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drug was the cause for that and yeah these kind of questions but then so let's

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then zoom in for instance in some sense you want to change medical practice

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and that means you have to overcome the habits that now are in place in terms

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of treatment guidelines,

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the training of medical staff, and so on,

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which might give you an inertia in actually managing this reorientation towards digital health.

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So how do you get that community on board in this process?

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It's all about education and the right incentives.

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It's easy to say, it's hard to be done.

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So education starts in a medical, in a med school and in the practice year, et cetera.

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And doctors usually do as they are trained. They even use the devices they are trained on.

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That's why med tech players are very keen on getting medical students using

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their innovations because that's then how you start the life cycle of the product

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because until their retirement, they probably stick to that device in doing their treatments.

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At least that was the case in the past. So this one theme,

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how to break into this, the medical education and how do you train doctors that

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are already practicing and active,

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so beyond their initial training to change the direction.

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That's one thing. The other thing is the incentives.

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And they're clearly monetary incentives that also count.

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If you are basically, as a medical practice.

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Getting benefits from these tools that directly translate into profitability of the practice,

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this then it clearly is an incentive that is very

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strong but now on the

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other hand so when we spoke last time about collaboration

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in your broader business environment you emphasize very much this notion of

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goals and and motivation um but in some sense now you seem to emphasize more

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this idea of okay let's bring up a new generation because the current one is

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actually already lost for this purpose.

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So is goal setting then not anymore an option?

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It is.

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The goal should be for anyone in the medical profession to treat the patient

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in the best possible way and ideally cure his disease or prevent him from getting the disease.

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So So that's part of the purpose of the medical profession.

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So anything that can be brought under that definition of the purpose of what

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we are doing should be already considered.

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And then I think the next step is really to get alignment between the goal of

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making the patient's life a better one and,

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with what the doctor is actually permitted and incentivized to do from all the environment around it,

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be it is it too burdensome and complicated on the data protection side to actually get into this.

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There are no lawyers. They are scared of this heavy lifting on the legal side.

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Then the easiness of use, so there

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are no technicians, they don't really necessarily understand the device,

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or the technology or the software, what it actually does and how reliable it is.

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I think that is one other element where you need to get their buy-in.

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So make their life as easy as possible and make it for them as beneficial as

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possible. I think that's the other element.

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And so, first of all, it needs to have proven positive impact on the treatment.

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Second, it needs to be beneficial and easy to use and beneficial to their… But

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you're saying for those stakeholders in the medical profession,

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this idea of higher quality of care would still be a relevant component in getting

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their buy-in? It's a component.

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I think it is. I truly believe

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that that's the majority of the medical profession is genuinely willing to improve

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the lives of their patients and better the outcome of their treatment. Okay.

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Absolutely no doubt about that but it also needs to be made easy and be facilitated

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by the organization or the system because what we too often have is scarcity of resources,

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constraints in terms of um yeah of of willingness to support this type of innovation

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because it's not regarded as valuable by the reimbursement system.

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They are not getting paid for it. Why should they do it?

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These are all blockers and obstacles.

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Yeah. But now the other side, also another stakeholder group you mentioned, are now the patients.

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As opposed to going to the hospital, you want them to stay at home,

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and now they get interfaced to interventions and monitoring and diagnostics through technology.

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So how do you get them to go along with that?

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Because they might say, well, I prefer to speak with a human being directly

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physically at the hospital.

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Yeah, and that's interesting to see that we had this COVID effect.

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So people did not want to see a doctor physically, but they wanted to get medical advice.

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And here the solution came in. And this is a little bit like with Amazon shopping or other things.

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Once you're getting used to it and you see this is, oh, this is easy.

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I just click on a few buttons and then I get next day my delivery.

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The same applies to other things in life.

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So people will not go back to their previous behaviors, sitting in a waiting

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room at the doctors for two hours in order to get an appointment but rather do it online and.

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Get it more easily with less burden you

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don't need to drive through the city you're not sitting in a room with all sorts

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of coughing and sniffing people who are severely ill and you get more sick out

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of this waiting room than you entered it that's not what people want and if

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they recognize the easiness of the interaction.

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And like we do now have a picture of them and not just talking to a machine.

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I think that people will learn to use it and appreciate it.

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But there's a very central question then of trust, right?

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So how do you then instill trust in that end user, In this case,

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the patient in that new pipeline of communication with the provision of healthcare.

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Yeah, I think, I mean, first of all, and that's balancing maybe a little bit

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my statement from before, you need to have the proper regulation in place that protects data.

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And you need to trust that this regulation is not only on paper,

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but also the practice, the lived practice, right?

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So that's number one. You need to have trust in the system that it's not being

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abused, it's not being hacked, it's safe, your data is at a safe spot, things like that.

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So that's clearly a prerequisite to give your data.

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And then the second point is that people are willing to contribute to medical development.

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So I think a lot get hooked up with the fact that they are not only providing

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their own data, but this is for a higher good.

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So there is medical advancement that's being enabled through that.

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And second, the they are getting something back on the long term,

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they that's, that's a little bit the quid pro quo.

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So if I get my data points, if I'm a diabetic, for example, I give I share my

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data points on my disease development, maybe in four or five years time.

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This aggregated data of millions of diabetes patients and their life cycle in

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terms of disease development may have positive impact on how I'm going to be

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treated because we are much smarter around the disease.

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And we have much better predictability of next steps and intervene more early

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than we usually do because normally when we intervene today,

00:24:08.184 --> 00:24:10.844
it's simply too late to fix it.

00:24:11.004 --> 00:24:16.404
So you can just kind of try to keep the status quo, which is already an advanced disease state.

00:24:17.044 --> 00:24:20.144
However, if you talk about trust,

00:24:20.464 --> 00:24:23.244
it will move also not so

00:24:23.244 --> 00:24:26.304
much towards words do i trust the person with

00:24:26.304 --> 00:24:29.224
my data but more do i trust what

00:24:29.224 --> 00:24:34.624
now this machine is telling me to do yeah that's the other thing but interestingly

00:24:34.624 --> 00:24:43.164
um i have the feeling that this is people need guidance in particular in territory

00:24:43.164 --> 00:24:46.864
where they don't know what to do so in particular when they They are ill,

00:24:47.004 --> 00:24:50.084
and they are looking for guidance.

00:24:50.584 --> 00:24:56.584
And the doctor is usually a trusted person, but my sense is,

00:24:56.784 --> 00:25:02.204
and I might be wrong, I haven't basically had personally the experience,

00:25:02.324 --> 00:25:08.444
but my sense is that people are also taking orders from a computer if it tells

00:25:08.444 --> 00:25:10.904
them this is now the right thing to do.

00:25:13.044 --> 00:25:14.684
For example, there are...

00:25:16.047 --> 00:25:30.307
Digital health apps that you use for side effects on diseases that can tell you you're vomiting,

00:25:30.447 --> 00:25:32.867
so you need to take this or that.

00:25:33.447 --> 00:25:35.207
That's possible.

00:25:36.247 --> 00:25:39.967
That's a simple algorithm that sits behind it and that exists.

00:25:41.167 --> 00:25:44.267
So people would actually follow that.

00:25:46.047 --> 00:25:50.027
Well, sure. I mean, humans would do that. But if you talk about digital health,

00:25:50.167 --> 00:25:54.627
also as you mentioned earlier, this might become more and more a central component

00:25:54.627 --> 00:25:56.547
that we have some AI system,

00:25:57.487 --> 00:26:03.527
that in the end just will guide your intervention and will tell you what to do.

00:26:04.107 --> 00:26:09.367
And it might not be one-on-one matched anymore to a human, a human expert.

00:26:10.167 --> 00:26:15.487
So that would very much, of course, raise the challenge. But how do you then

00:26:15.487 --> 00:26:19.087
assure that that end user has trust?

00:26:19.587 --> 00:26:24.207
Like, look at the discussion we have now around the COVID vaccination,

00:26:24.687 --> 00:26:30.807
where actually the hesitancy about vaccination is surprisingly high.

00:26:31.667 --> 00:26:37.227
So, if we already, and it's also very easily manipulated, apparently,

00:26:37.327 --> 00:26:44.967
because we only have to hear one story about a 0.001 percentage risk for blood

00:26:44.967 --> 00:26:48.027
clots, and there goes one third of your population,

00:26:48.167 --> 00:26:51.447
even in educated populations like Germany.

00:26:51.447 --> 00:26:55.667
So trust, now, if you want to advance this digital health agenda,

00:26:56.007 --> 00:27:04.407
do you believe that instilling trust can actually be managed in a coordinated and rational way?

00:27:07.994 --> 00:27:11.054
Um yeah it's a good it's a good question i

00:27:11.054 --> 00:27:14.134
think um it's very

00:27:14.134 --> 00:27:17.594
situational right so if you are if you

00:27:17.594 --> 00:27:20.654
have cancer and you know that your options

00:27:20.654 --> 00:27:23.594
are you don't do anything and live for

00:27:23.594 --> 00:27:29.494
another two months or you at least try alternatives um you're probably in a

00:27:29.494 --> 00:27:32.134
different situation and have

00:27:32.134 --> 00:27:41.054
a higher willingness to try whatever hands come to you to try to pick it.

00:27:41.134 --> 00:27:48.374
If you are in your normal life, not ill or at least not diagnosed with anything

00:27:48.374 --> 00:27:54.254
and have your habits and your kind of lifestyle and et cetera,

00:27:54.474 --> 00:27:59.494
you probably don't listen to someone who's telling you you should not smoke

00:27:59.494 --> 00:28:01.394
or you should not drink or you should not whatever,

00:28:02.514 --> 00:28:07.594
because simply it's pleasure, it's fun and you don't yeah,

00:28:08.574 --> 00:28:10.554
you don't think of the end.

00:28:11.714 --> 00:28:15.414
But once you've got the cancer, once you've got your liver disease or whatever

00:28:15.414 --> 00:28:20.234
it is, then you start, oh whoops, I need to change something and I need help

00:28:20.234 --> 00:28:23.574
and I trust now whoever is telling me what I should do.

00:28:24.474 --> 00:28:30.274
The expert. Right. I believe that for me, complex With complex technologies,

00:28:30.634 --> 00:28:34.974
we have certification schemes and ISO standards and whatever.

00:28:35.214 --> 00:28:40.414
So would you think that would be sufficient to assure trust?

00:28:40.674 --> 00:28:44.914
If we say, okay, here you have an AI system, it will tell you what to do,

00:28:45.034 --> 00:28:49.654
and it is certified by the European Medicine Authority.

00:28:51.454 --> 00:28:57.234
I don't think that is the stamp of trust that makes the difference.

00:28:57.514 --> 00:29:06.234
Okay. It lives with the examples, the use cases, the conviction that others

00:29:06.234 --> 00:29:11.454
are using it, that I know they have good experience with it. Let me try it too.

00:29:11.654 --> 00:29:15.754
I think that you need these examples. You need to bring it to life.

00:29:15.894 --> 00:29:18.794
Trust cannot be imposed by a stamp.

00:29:19.574 --> 00:29:23.234
Okay. But still, that's what we do with many complex technologies,

00:29:23.674 --> 00:29:26.714
right? Airplanes get certified. Yeah.

00:29:28.014 --> 00:29:34.074
Yeah, but I'm not saying we should not certify things.

00:29:34.174 --> 00:29:39.194
I think we need standards and they can be implemented with this level of certification,

00:29:39.334 --> 00:29:42.094
but that itself does not create trust.

00:29:42.434 --> 00:29:47.214
Sure. Okay. So it's a necessary condition, but it's not sufficient.

00:29:47.394 --> 00:29:56.054
So what would be sufficient then? What would be the magic transition to assure trust? Sure.

00:29:57.914 --> 00:30:05.134
I think a big is understanding. So you need to find a convincing and.

00:30:08.864 --> 00:30:15.204
A transparent way of showcasing the benefits versus the downsides.

00:30:15.404 --> 00:30:21.464
I think if people get the feeling you are hiding something or you are just kind

00:30:21.464 --> 00:30:28.584
of showing the shiny side and not making clear what the whole picture looks like,

00:30:29.744 --> 00:30:30.924
people don't want to...

00:30:30.924 --> 00:30:35.624
I mean, you see this in this vaccinations topic that you raised.

00:30:35.624 --> 00:30:42.664
Number one is the single bad message that kills or at least makes people uncertain.

00:30:43.144 --> 00:30:45.664
So I don't want to get a blood clot.

00:30:47.164 --> 00:30:50.064
I don't have COVID right now. Why should I?

00:30:51.024 --> 00:30:57.124
The risk is high perceived, even if it's not high statistically.

00:30:58.024 --> 00:31:04.384
But if you are the one getting it, you probably say, why did I then get into

00:31:04.384 --> 00:31:06.924
this? So I think that's one thing.

00:31:07.404 --> 00:31:18.744
And the other one is that if people have the feeling they are pushed in a direction

00:31:18.744 --> 00:31:22.204
without the proper explanation,

00:31:22.764 --> 00:31:24.744
then it's causing resistance.

00:31:24.744 --> 00:31:34.264
That's a little bit the strange animals of Querdenker in Germany,

00:31:34.504 --> 00:31:41.724
and they probably exist everywhere in the world, who are all about being manipulated.

00:31:42.784 --> 00:31:46.464
So if you start thinking, okay, someone is trying to manipulate me here,

00:31:46.804 --> 00:31:50.524
then they are creating resistance as well.

00:31:50.624 --> 00:31:53.364
Right. Very obscure arguments, to be honest.

00:31:53.504 --> 00:31:57.204
But obscure arguments seem to work.

00:31:58.224 --> 00:32:03.924
So the other possible source to instill trust in those end users,

00:32:04.024 --> 00:32:06.904
as you say, might be evidence, knowledge.

00:32:07.824 --> 00:32:12.464
But do you believe that is sufficiently developed in all these domains?

00:32:12.464 --> 00:32:17.864
Because there, of course, the risk might be that evidence as such is very opaque

00:32:17.864 --> 00:32:21.724
for a non-informed outsider.

00:32:22.104 --> 00:32:27.184
So here I am, now I have cancer, I get some complicated immune therapy.

00:32:27.924 --> 00:32:32.504
Okay, it will take me ages to figure out what that really means.

00:32:34.624 --> 00:32:39.884
And that is also then the role of the expert in today's system that I talk to

00:32:39.884 --> 00:32:44.124
my doctor because my doctor knows, so I don't need to know, but I trust my doctor.

00:32:44.124 --> 00:32:53.184
So if we remove that authority from the delivery of healthcare and replace that with technology,

00:32:53.564 --> 00:33:02.964
how then do we find an alternative to that authority that tells us what to do?

00:33:04.183 --> 00:33:07.843
Because in some sense, what's interesting, our traditional healthcare system

00:33:07.843 --> 00:33:12.423
has reduced collaboration by making the patient really a patient that means

00:33:12.423 --> 00:33:16.323
disempowered, lack of autonomy, you're told what to do.

00:33:16.683 --> 00:33:21.243
But if we move to digital health, we also are actually proposing a different

00:33:21.243 --> 00:33:25.523
kind of system where the end user, the patient, is more empowered,

00:33:25.743 --> 00:33:28.543
autonomous, and an agent in the whole system.

00:33:28.543 --> 00:33:35.183
So that requires also quite a cultural change in how we deliver healthcare.

00:33:35.443 --> 00:33:40.863
Is it really realistic in most of the societies that we live in?

00:33:41.303 --> 00:33:44.463
I think it is realistic to some degree.

00:33:44.583 --> 00:33:53.683
I think the issue is that you need options to be able to make a decision as a patient.

00:33:53.683 --> 00:34:01.243
If you are with a deadly disease at your stadium where doctors tell you you

00:34:01.243 --> 00:34:05.123
have six months to live, I think you are running out of options, right?

00:34:05.203 --> 00:34:10.783
So you take what you get and you are very much relying on the person because

00:34:10.783 --> 00:34:12.503
you don't have oversight.

00:34:12.663 --> 00:34:18.363
You cannot make a judgment call yourself. You don't have anything to base your

00:34:18.363 --> 00:34:25.043
judgment on except for maybe a stomach feeling. But you don't understand the treatment.

00:34:25.223 --> 00:34:28.423
You don't understand the options anyway.

00:34:28.643 --> 00:34:31.623
So you need to get a steer.

00:34:31.823 --> 00:34:36.283
Otherwise, you're not doing the right thing. So the increased autonomy is maybe

00:34:36.283 --> 00:34:41.843
more for the preventative space where you have the options to continue your

00:34:41.843 --> 00:34:43.643
disastrous lifestyle or change it.

00:34:44.363 --> 00:34:50.883
Change your habits, stop smoking, stop drinking, stop whatever is detrimental to your health.

00:34:51.343 --> 00:35:01.223
And find alternatives to have a life that is satisfying and gives enough pleasures as well.

00:35:01.583 --> 00:35:09.443
This is interesting because the transition to a healthcare that's more preventive than reactive,

00:35:09.703 --> 00:35:14.903
and that's also what you're describing now, indeed requires more agency of that

00:35:14.903 --> 00:35:17.623
patient to say, look, I'm part of this broader society,

00:35:17.983 --> 00:35:23.983
and I want to be a productive member of this society without becoming a burden

00:35:23.983 --> 00:35:26.883
to myself, my family, and society.

00:35:27.403 --> 00:35:30.483
But that, of course, requires a very different mindset.

00:35:31.063 --> 00:35:38.263
And the question now is, are we educating people sufficiently to also step into that boat?

00:35:39.742 --> 00:35:45.762
I think this is a process that takes time. It's looking back at the environmental

00:35:45.762 --> 00:35:51.762
movement and how people think today about the environment versus how they thought

00:35:51.762 --> 00:35:54.662
maybe 20 years ago has shifted dramatically.

00:35:55.242 --> 00:36:01.262
And I think the same is going to happen when it comes to health and their own behaviors.

00:36:01.622 --> 00:36:06.282
I think this is nothing that you can generate overnight.

00:36:06.282 --> 00:36:11.922
Night sure but then will we achieve this point on time before our health care system collapses.

00:36:12.682 --> 00:36:15.582
Yeah good question i don't know um i felt

00:36:15.582 --> 00:36:19.162
this always uh at the brink of collapse exactly so

00:36:19.162 --> 00:36:25.262
surviving somehow because we are subsidizing it uh out of the tax uh income

00:36:25.262 --> 00:36:33.382
etc so sure the level of services um there are different ways to do it so right

00:36:33.382 --> 00:36:38.602
but but now we have different moving parts in this now and one of them we haven't really highlighted yet,

00:36:39.302 --> 00:36:42.362
and that's the tech companies right for

00:36:42.362 --> 00:36:45.942
tech companies these are new markets and it

00:36:45.942 --> 00:36:51.862
might have been adolescence it might have been group x in society oh no health

00:36:51.862 --> 00:36:58.702
is a great market for us right so so then do you think that the issues we just

00:36:58.702 --> 00:37:04.642
discussed about about goals patient quality quality of life and health, trust,

00:37:04.942 --> 00:37:12.562
are then also goals that these stakeholders easily relate to or also sincerely relate to.

00:37:14.671 --> 00:37:20.491
Yeah, I think, I mean, why not? Yeah, it's not, I mean, ultimately everyone

00:37:20.491 --> 00:37:22.571
who is, they are all businesses.

00:37:22.631 --> 00:37:25.471
Yeah, they are trying to generate revenues.

00:37:26.511 --> 00:37:31.731
I don't blame anyone for doing that. Even someone who is a doctor or running

00:37:31.731 --> 00:37:34.631
a hospital is ultimately somewhat a business.

00:37:34.891 --> 00:37:39.771
I understand that, Alex, but take Facebook, right?

00:37:39.911 --> 00:37:43.851
Yeah. If Facebook would give me health advice, I would really be very concerned

00:37:43.851 --> 00:37:49.831
because we know, actually, Facebook is in full-out assault on health,

00:37:50.071 --> 00:37:54.391
certainly on mental health in our society, in order to drive revenue because,

00:37:54.491 --> 00:37:55.711
in the end, they're an advertisement company.

00:37:56.371 --> 00:38:03.151
Right? So it's okay. This is then a dilemma we got to work with because they

00:38:03.151 --> 00:38:08.511
have proven to be unreliable and they have proven to be really undercutting

00:38:08.511 --> 00:38:10.711
and eroding the foundations of our society.

00:38:11.111 --> 00:38:17.091
And now, in some sense, we want to bring them into a domain that is very central

00:38:17.091 --> 00:38:19.911
to our individual and collective well-being.

00:38:19.911 --> 00:38:23.551
Yeah i think um first

00:38:23.551 --> 00:38:28.171
of all i haven't seen any initiative on the health side from facebook yet i

00:38:28.171 --> 00:38:34.071
can't comment on that um but i would not cut all the tech companies over the

00:38:34.071 --> 00:38:42.391
same uh over the same judgment or i don't know if i'm expressing that correctly but um.

00:38:47.031 --> 00:38:54.011
There is a lot of good that anyone who has access to data,

00:38:54.171 --> 00:39:02.131
to health data of patients or whatever it is, and using that in the right way can contribute.

00:39:02.591 --> 00:39:07.931
And I don't really care if it's coming from Google, which is also an advertising

00:39:07.931 --> 00:39:14.331
company to some degree, or if it's coming from something that's been built from scratch.

00:39:14.611 --> 00:39:20.531
But if you look at the pattern that people are using,

00:39:21.571 --> 00:39:26.011
or the search words they are using when they look for health advice,

00:39:26.151 --> 00:39:30.751
etc., I think there's a lot of information that we can gain from it.

00:39:30.771 --> 00:39:34.111
You're not getting the right answer from Google. That's not what I'm saying.

00:39:34.691 --> 00:39:39.251
So don't Google if you're sick. That's making it worse. but.

00:39:42.353 --> 00:39:47.133
There is a lot of information that we can gain from what people are looking

00:39:47.133 --> 00:39:48.833
for when they have a certain disease.

00:39:49.033 --> 00:39:50.973
I think that's super helpful.

00:39:51.353 --> 00:39:54.833
Sure, but if that information is with Google or Facebook, you're never going

00:39:54.833 --> 00:39:56.713
to get it unless you pay for it.

00:39:56.793 --> 00:40:00.313
It's more the other way around, right? We know Google has been shipping a lot

00:40:00.313 --> 00:40:07.093
of NHS data from the UK to its own servers, not accessible by anyone else anymore.

00:40:07.093 --> 00:40:11.753
I was more reacting to this point that you say, well, all these big tech companies,

00:40:12.013 --> 00:40:13.513
in the end, it's all about revenue.

00:40:13.833 --> 00:40:16.193
So as long as they optimize revenue by delivering healthcare,

00:40:16.613 --> 00:40:18.593
it will probably be okay.

00:40:19.393 --> 00:40:23.013
And at least that's how I took your answer. And that's why I wanted to push

00:40:23.013 --> 00:40:27.073
back or challenge that a little bit by saying, well, this has not always worked

00:40:27.073 --> 00:40:29.993
out so well, right? because they make sure of you.

00:40:30.233 --> 00:40:37.173
I mean, it's not for sure if they are basically just taking data and store it

00:40:37.173 --> 00:40:40.893
somewhere where it's no longer accessible, then something went terribly wrong.

00:40:41.173 --> 00:40:46.673
I wonder who made the contracts under which they do it or why you're not suing

00:40:46.673 --> 00:40:50.753
them until they basically no longer exist.

00:40:51.273 --> 00:40:57.893
But, you know, I don't know anyone else who has the cap

00:40:58.253 --> 00:41:01.273
capability the reach and the breadth to to

00:41:01.273 --> 00:41:06.413
you you wouldn't start it from scratch now or who should start it is you do

00:41:06.413 --> 00:41:09.693
you think the government should do it i doubt it that they are doing a better

00:41:09.693 --> 00:41:15.393
job in that so but there there lays an interesting challenge right because we

00:41:15.393 --> 00:41:20.773
do know we have to bring in technology to advance this it's absolutely necessary,

00:41:21.253 --> 00:41:24.453
but for that goals and trust

00:41:24.453 --> 00:41:27.513
has to be aligned and also

00:41:27.513 --> 00:41:30.433
developed and okay what's the longer path

00:41:30.433 --> 00:41:36.333
here or what's the shorter path here and you could also in one scenario could

00:41:36.333 --> 00:41:42.273
be either a conglomerate of more european companies as as a fresh entry of course

00:41:42.273 --> 00:41:47.113
that's difficult in itself or you just say well europe and different nations

00:41:47.113 --> 00:41:50.353
have to just set that up as a more a public.

00:41:51.213 --> 00:41:55.293
Organization, as we have public healthcare systems, we also should have public

00:41:55.293 --> 00:41:58.773
digital healthcare systems. Would you find it a plausible alternative?

00:42:00.223 --> 00:42:09.803
I'm not so sure. If I look at what our public initiatives around the COVID tracker have delivered,

00:42:10.083 --> 00:42:17.423
I think that would have been a task relatively. It was too easy. Yes, I agree.

00:42:17.843 --> 00:42:19.703
It has been a complete disaster.

00:42:20.163 --> 00:42:23.943
I mean, you're absolutely right. But there's a dilemma here, right?

00:42:23.943 --> 00:42:28.383
So, certainly from the perspective of now the collaborating stakeholders,

00:42:28.583 --> 00:42:29.983
and this is a shifting landscape,

00:42:30.343 --> 00:42:37.263
and there is urgency to get this together on time, we might also pay a very

00:42:37.263 --> 00:42:42.783
high price if we just step in with the existing tech giants.

00:42:42.783 --> 00:42:45.483
Because yeah you i think you need

00:42:45.483 --> 00:42:48.483
to find yeah you need to define the framework the accessibility

00:42:48.483 --> 00:42:51.603
of data and the ownership of data i think that's that's

00:42:51.603 --> 00:42:57.303
a key and that is a regulatory thing to do the rest i think should be the market

00:42:57.303 --> 00:43:03.503
enforcement so if you basically enforce them to keep the data on european servers

00:43:03.503 --> 00:43:09.323
so you have still access and control that you have kind of a.

00:43:09.903 --> 00:43:12.903
Neutral surveyor who

00:43:12.903 --> 00:43:15.603
gets access to verify that everything is treated

00:43:15.603 --> 00:43:18.483
properly that you they are

00:43:18.483 --> 00:43:21.523
not in they need to anonymize data

00:43:21.523 --> 00:43:27.103
things like that these type of thing can be enforced by law and that's that's

00:43:27.103 --> 00:43:31.743
a legal regulator has to do i think that's the framework to to provide and then

00:43:31.743 --> 00:43:36.103
the rest is basically let them find the best solution and something that really

00:43:36.103 --> 00:43:39.483
works There are businesses that need to make things work,

00:43:39.643 --> 00:43:41.923
otherwise they are not going to succeed.

00:43:42.363 --> 00:43:44.743
When the state is starting something.

00:43:46.603 --> 00:43:52.583
I mean, who is suing the government four years later for not having properly

00:43:52.583 --> 00:43:53.683
delivered on something?

00:43:53.783 --> 00:43:56.603
It's not possible. Right. But this is interesting, right?

00:43:57.323 --> 00:44:03.343
Government comes. Sure. But that means you're trusting then the market to sort

00:44:03.343 --> 00:44:05.323
of come up with the proper answers.

00:44:05.963 --> 00:44:12.623
However, I would see a challenge there with this question of evidence, right?

00:44:12.723 --> 00:44:15.723
This is also, of course, the big challenge of the pharmaceutical industry,

00:44:15.723 --> 00:44:19.583
Because there they would say, well, certain things we just don't pursue anymore

00:44:19.583 --> 00:44:22.423
because we don't think the market is interesting enough.

00:44:22.623 --> 00:44:28.143
So if we now start to rely on market mechanisms to do that, they might not serve

00:44:28.143 --> 00:44:32.203
the actual goals and values of a healthcare system we want to build.

00:44:32.643 --> 00:44:36.243
But you see, I mean, look at the rare disease area.

00:44:36.443 --> 00:44:42.723
You have diseases with, I don't know, 1,000 patients globally per year or less

00:44:42.723 --> 00:44:44.303
than 1,000, 100 patients.

00:44:45.103 --> 00:44:50.703
And you can still make it work that you find solutions for them by giving the right incentives.

00:44:50.963 --> 00:44:53.163
How did they do it? You get it reimbursed.

00:44:53.943 --> 00:44:59.243
I mean, the 100 patients per year, they don't make a huge difference to the healthcare system.

00:44:59.343 --> 00:45:04.983
Even if you reimburse the medication with a million of dollars per medication,

00:45:05.143 --> 00:45:08.383
per treatment, they do it, and that works.

00:45:08.643 --> 00:45:14.123
So we have a treatment for deadly diseases that are extremely rare.

00:45:14.683 --> 00:45:23.103
So that's a way how we made it work for both sides the pharma company sees value

00:45:23.103 --> 00:45:25.563
in spending money on it because they can.

00:45:27.087 --> 00:45:32.627
They can earn money with it. And for those patients who were death sentenced

00:45:32.627 --> 00:45:34.547
before, we have now a solution.

00:45:34.907 --> 00:45:43.367
So I think that's the markets you create by setting the right incentives or

00:45:43.367 --> 00:45:46.207
balancing those things.

00:45:46.867 --> 00:45:51.607
But so, Alex, in what timeframe do you think we can really start to speak,

00:45:51.767 --> 00:45:57.727
let's say, in Europe about digital healthcare being the standard of care?

00:45:59.907 --> 00:46:04.287
Oh, the standard of care, I think we are still some way out.

00:46:05.107 --> 00:46:14.247
An evolving digital health ecosystem, we can observe already today.

00:46:14.627 --> 00:46:24.307
And I think there are big learnings out of the crisis and some heavy advancements

00:46:24.307 --> 00:46:32.887
that will remain valid even after COVID is our daily news flow.

00:46:33.467 --> 00:46:38.427
And I think it's an accelerator. So we definitely, I would say,

00:46:38.447 --> 00:46:45.507
over the next five to 10 years, we see dramatic changes in medical health and

00:46:45.507 --> 00:46:47.407
how patients are treated.

00:46:47.407 --> 00:46:52.487
And what's the biggest risk that we face in growing in that direction?

00:46:54.567 --> 00:46:59.747
Yeah, losing the trust of the people. So it comes back to what we discussed.

00:47:00.227 --> 00:47:04.087
People are very nervous about.

00:47:06.807 --> 00:47:11.967
Single examples, even they are statistically maybe not meaningful,

00:47:12.247 --> 00:47:20.927
even a single data leak week can already cause the loss of trust and reverse

00:47:20.927 --> 00:47:25.847
some of the developments or slow them dramatically down. Right.

00:47:26.447 --> 00:47:29.427
So we need to be very careful that this doesn't happen.

00:47:30.147 --> 00:47:34.807
And how would the stakeholder landscape then shift by the time we're there?

00:47:34.967 --> 00:47:42.247
So how many of the stakeholders that are central now will have fallen out of the boat by then?

00:47:44.911 --> 00:47:48.911
Let's say hospitals, right? We might not need that many hospitals anymore or

00:47:48.911 --> 00:47:53.671
centers, health centers, because everything has moved to that home context.

00:47:54.691 --> 00:48:02.451
Yeah, I think there definitely will be a shift, but we will not get rid of hospitals at all.

00:48:03.171 --> 00:48:08.171
They need to adapt to this new environment.

00:48:08.511 --> 00:48:11.391
I think it also allows them to get more efficient, patient

00:48:11.391 --> 00:48:15.591
so uh more predictability on

00:48:15.591 --> 00:48:19.031
how long patients stay better manage manageable

00:48:19.031 --> 00:48:22.151
workflows in the hospital that allows

00:48:22.151 --> 00:48:26.611
them also to become more profitable because that's the other part of the equations

00:48:26.611 --> 00:48:32.531
hospitals are at least if they are not part of a bigger group rarely profitable

00:48:32.531 --> 00:48:37.651
they are usually loss making and we need to solve that otherwise the system

00:48:37.651 --> 00:48:40.931
i mean we can only afford this,

00:48:42.031 --> 00:48:43.731
to some extent.

00:48:44.211 --> 00:48:48.831
Ultimately, the system is at the brink, as I said, of color.

00:48:49.311 --> 00:48:55.211
And would you expect that this also will have a measurable impact on life expectancy in Europe?

00:48:57.911 --> 00:49:02.671
It definitely will. Definitely will. I'm pretty sure there's impact.

00:49:04.731 --> 00:49:11.911
No. But But, I mean, life expectancy is growing, and I'm pretty sure it will

00:49:11.911 --> 00:49:14.211
further grow with, in particular,

00:49:14.371 --> 00:49:22.231
prevention and change of lifestyle that can only be steered through early monitoring,

00:49:22.451 --> 00:49:28.251
through big data collection, and through better learning about what behavior

00:49:28.251 --> 00:49:30.471
has which consequences.

00:49:31.571 --> 00:49:34.871
Right. Ferdinand, would you like to add something? Do you have a question?

00:49:38.631 --> 00:49:45.551
Well, I have maybe a question that picks up on something that we discussed before,

00:49:45.811 --> 00:49:54.311
just a new sort of angle on this adoption issue, because maybe let me just briefly come back to that.

00:49:55.651 --> 00:50:01.491
Because you said, well, the doctors that need to have the right incentives to

00:50:01.491 --> 00:50:07.451
adopt these new technologies and that in general they care for the um i mean

00:50:07.451 --> 00:50:08.491
the health of the patients,

00:50:09.431 --> 00:50:14.951
i'm just wondering um whether there could not be more resistance from the doctors

00:50:14.951 --> 00:50:22.171
for two reasons i mean one um one possibility of these new technologies is is

00:50:22.171 --> 00:50:24.351
that it will make a lot of doctors redundant.

00:50:26.133 --> 00:50:30.413
Right so if you don't have to go to a doctor maybe you just look into a screen

00:50:30.413 --> 00:50:35.853
and the camera can detect your i don't know your health status or so then maybe

00:50:35.853 --> 00:50:37.133
you don't need to go to the doctor,

00:50:37.893 --> 00:50:42.633
and so there might be instrumental reason for doctors to resist these kind of

00:50:42.633 --> 00:50:48.533
technologies and the second point is um i mean these technologies they could

00:50:48.533 --> 00:50:51.793
also threaten in some sense, the self-image of the doctor.

00:50:52.693 --> 00:50:58.513
I mean, I think you like to have this competence, right?

00:50:58.593 --> 00:51:03.653
And if a machine is making a prediction that is not consistent with your own

00:51:03.653 --> 00:51:07.033
expertise, so to speak, not consistent with your own opinion,

00:51:08.213 --> 00:51:12.513
maybe then they will also resist because it somehow undermines them or they

00:51:12.513 --> 00:51:15.493
don't trust it because, you know, it's not what they thought,

00:51:15.633 --> 00:51:18.313
but actually the machine might be much better than the doctors.

00:51:18.313 --> 00:51:21.673
I was just wondering whether you could briefly comment on this.

00:51:22.393 --> 00:51:29.213
Yeah, definitely there is this notion of doctors may be redundant or we may

00:51:29.213 --> 00:51:31.493
need less doctors for certain things.

00:51:31.493 --> 00:51:40.293
Things, taking, for example, standard diagnostics tools,

00:51:40.433 --> 00:51:47.073
so reading out the pictures of an MRI or an ultrasound,

00:51:48.153 --> 00:51:48.533
diagnosis.

00:51:52.339 --> 00:52:00.219
And then a computer taking over a lot of that job by pre-selecting or filtering the pictures.

00:52:00.499 --> 00:52:03.219
That is something that's being discussed.

00:52:04.219 --> 00:52:11.119
My sense is that doctors that recognize this rather as an opportunity than a

00:52:11.119 --> 00:52:16.219
threat will be the ones that are more successful because they will adapt this earlier.

00:52:16.219 --> 00:52:20.219
They can treat more patients.

00:52:20.639 --> 00:52:23.599
They can be more effective in how they do it.

00:52:23.639 --> 00:52:30.059
They see the AI as a partner, as an enabler, because it helps them to only focus

00:52:30.059 --> 00:52:32.079
on the really difficult cases.

00:52:32.379 --> 00:52:38.299
And all the standard stuff is being done by a very cost-efficient aid,

00:52:38.419 --> 00:52:42.839
which has basically just the acquisition cost.

00:52:43.039 --> 00:52:45.899
And then the rest is maybe a little bit of maintenance.

00:52:46.219 --> 00:52:50.759
But it's not asking for a monthly salary like other doctors.

00:52:53.379 --> 00:52:57.379
One second, I need to give some signals.

00:52:57.619 --> 00:53:04.439
I have someone here asking for my next advice.

00:53:05.099 --> 00:53:12.019
But the thing is, that threat, I think, I mean, the concern exists.

00:53:12.019 --> 00:53:19.159
I see this in various discussions, but again, the doctors who take this on as

00:53:19.159 --> 00:53:24.379
an opportunity rather than a threat will be the ones that will be successful with it, in my view.

00:53:25.259 --> 00:53:28.539
Okay, Alex, thank you very much for this conversation.

00:53:29.399 --> 00:53:35.339
We learned a lot about… Hi, you listened to one of our podcasts in the series

00:53:35.339 --> 00:53:40.099
on collaboration produced by the Ernst Trommel Forum and the Convergent Science

00:53:40.099 --> 00:53:44.119
Network. You can find more episodes on our website.