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Circulatory Health magazine

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Big Data @ Heart:<br />

Sharing data and<br />

discovering trends<br />

The explosive growth in the quantity of<br />

digital data in our society is the new<br />

driver of innovation. This also applies to<br />

Big Data @ Heart. "We are living in a<br />

world full of fragmented data files, but<br />

once you share them, you pave the way<br />

for answering clinical questions within a<br />

short time frame."<br />

With his current research, cardiologist<br />

in training and clinical epidemiologist,<br />

Stefan Koudstaal seeks to unravel the<br />

patterns that exist in the years prior to<br />

discovering that patients suffer from<br />

cardiac failure. What are the type of<br />

complaints that prompt them to go see<br />

a doctor? Or what type of medication<br />

have they been prescribed? Stefan:<br />

"We hope to find the answers to these<br />

questions at Big Data @ Heart over the<br />

next few years."<br />

What are these big data exactly? Stefan:<br />

"To us, these are large quantities of data<br />

that are not stored in a standardized<br />

manner. They are basically very rough<br />

data on a lot of patients. They are not<br />

suitable for in-depth conclusions, but<br />

we can use them to look at certain<br />

patterns that help us identify diseases<br />

earlier and treat them better. At Big<br />

Data @ Heart, we study these patterns<br />

using data from Great Britain, Sweden,<br />

Spain and the Netherlands. Data from<br />

Sweden and Great Britain have already<br />

been compared as to the chances of<br />

survival after an acute myocardial<br />

infarction. These were corrected for<br />

how ill patients were when they were<br />

32 <strong>Circulatory</strong> <strong>Health</strong> Magazine

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