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RVB Translational Medicine Book

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“There is a bright idea or healthcare innovation and a firstin-man<br />

study has been done, so it is beautifully translated<br />

from the lab to human. But then, boom, still nobody knows<br />

whether it works or has impact in daily medical practice.”<br />

Carl Moons<br />

Professor of Clinical Epidemiology, Julius Center for Health Sciences and Primary Care<br />

“From my perspective, we can only speak of<br />

<strong>Translational</strong> <strong>Medicine</strong> when research results are<br />

applicable to the end-users. These end-users would<br />

include patients or care providers, and not only<br />

research going from the bench to the first-in-man<br />

studies.” For Carl it is obvious, “Medical science is often<br />

too discovery-driven. It is sexy to discover things or<br />

develop innovations, but not to validate or test these<br />

discoveries in the context for which the innovation is<br />

eventually to be applied. And that is what is needed<br />

before taking wide scale implementation of any<br />

innovation into practice. I used to be the same, in a<br />

way. We finished a phase 3 trial, described it in a<br />

beautiful paper, published it in a high impact journal<br />

and went on with the next trial. What I should have<br />

done is pick up the result, further explain it where<br />

needed, and bring it to the relevant stakeholders to<br />

make sure it entered the clinical guidelines.”<br />

Carl continues, “To me, <strong>Translational</strong> <strong>Medicine</strong> often<br />

seems less translational than it should be. Researchers<br />

and research teams often stop too early. From the start<br />

of the idea or conception of the innovation, we should<br />

work much more in multidisciplinary teams. This is<br />

needed in the entire chain to bring the idea into daily<br />

practice. Then <strong>Translational</strong> <strong>Medicine</strong> will be fully<br />

translational, and much more effective and impactful.<br />

It moves from discovery- and technology-driven to<br />

impact- and fit-for-purpose-driven. If you talk about<br />

decision support systems, for example, the end-users<br />

are you and I, and actually the whole population.<br />

Developing a decision support system or some<br />

e-health app is one thing, but evaluating whether it<br />

indeed has true impact on the health of the actual<br />

end-users in the intended context of the app is<br />

something else.”<br />

UMC Utrecht 37

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