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Roel Sijstermans, Netherlands Cancer Institute | Accelerating Next


 

>>Okay we're here on the cube covering H. P. E. Accelerating next and with me is Rule Sister Mons, who was the head of it at the Netherlands Cancer Institute also known as NK I welcome rule. >>Thank you very much. Great to be here. >>Hey what can you tell us about the Netherlands Cancer Institute? Maybe you could talk about your core principles and and and also if you could weave in your specific areas of expertise. >>Yeah maybe first introduction to the National Cancer Institute. We are one of the top 10 comprehensive cancers in the world. And what we do is we combine a hospital for treating patients with cancer and research institute under one roof. So the discoveries we do we find within the research. We can easily bring them back to the clinic and and visa versa. So um we have about 750 researchers and about 3000 other employees, doctors, nurses and and my role is to facilitate them at their best with I. T. >>Got it. So I mean everybody talks about digital digital transformation to us that it all comes down to data. So curious how you collect and take advantage of medical data specifically to support NK eyes goals. Maybe some of the challenges that your organization faces with the amount of data, the speed of data coming in. Just the the complexities of data. How do you handle that? >>Yeah it's it's it's a challenge and uh what we we have we have a really a large amount of data so we produce uh terabytes today and we have stored now one petabyte of data at this moment. And it's uh the challenge is to reuse the data optimal for research and to share it with other institutions. So that needs to have a flexible infrastructure for that. So a fast really fast network big data storage environment. But the real challenge is not so much the I. T. But is more the quality of the data. So we have a lot of medical systems all producing those data and how do we combine them and you get the data fair. So findable accessible, interoperable and reusable for research purposes. So I think that's the main shell is the quality of the data. >>Very common themes that we hear from from other customers. I wonder if you could paint a picture of your environment and maybe you can share where HP solutions fit in what what value they bring to your organization's mission. >>Yeah I think it it brings a lot of flexibility. So what we did with HP. Es. That we we developed a software defined data center and then a virtual workplace for our researchers and doctors and that that's based on the HB infrastructure. And what we wanted to build is something that I expect the needs of doctors and nurses, but also the researchers and to kind of different blood groups, blood groups and with different needs. So, uh but we wanted to create one infrastructure because we wanted to make the connection between the hospital and research that's that's more important. So uh HPD helped helped us not only with the infrastructure itself, but also designing and the whole architecture of it. And for example, what we did is we bought a lot of hardware and and and the hardware is really doing his job between 9 to 5 Dennis, everything is working within, everyone is working with an institution, but all the other time in the evening and and nine hours and also the redundant environment we have for for our health care that doesn't do nothing of uh much more less uh in those uh dark hours. So, but we we created together with A V N H B and B M R, is that we we we call it Fidel today, compute by night. So we re use those uh those servers and those Gpu capacity for computational research jobs within the research. >>That's how you mentioned flexibility for this genius. And and so we're talking, you said a lot of hardware probably reliant, I think synergy Aruba networking is in there. How are you using this environment? Actually, the question really is when you think about NK eyes digital transformation, I mean, is this sort of the fundamental platform that you're using? Is it a maybe you could describe that? >>Yeah, it's the fundamental platform to work on. And what we see is that we have we have now everything in place for it. But the real challenge is, is the next steps we are in. So we have a software defined data center, we are cloud ready. So the next step is to make the connection to the cloud to give more automation to our researchers. So they don't have to wait a couple of weeks for I. T. To do it but they can do it themselves with a couple of clicks. So I think the basic is is we are really flexible and we have a lot of opportunities for automation for example. But the next step is to create that the business value really for for our employees. >>That's a great story and a very important mission. Really fascinating stuff. Thanks for sharing this with our audience today. Really appreciate your time. >>Thank you very much. >>Okay, this is Day Volonte with the cube stay right there for more great content. You're watching accelerating next from HP.

Published Date : Mar 29 2021

SUMMARY :

P. E. Accelerating next and with me is Rule Sister Mons, Thank you very much. Maybe you could talk about your core So the discoveries we do we find within the research. So curious how you collect and take advantage of medical data specifically to support the challenge is to reuse the data optimal for research and to share I wonder if you could paint a picture of your environment and in the evening and and nine hours and also the redundant environment we have for Actually, the question really is when you think about NK eyes digital transformation, So the next step is to make the connection to the cloud Thanks for sharing this with our audience today. Okay, this is Day Volonte with the cube stay right there for more great content.

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