Real clinical data, here and now.

February 1, 2021

At IOMED we often talk about Real-World Data and the enormous value that this asset has for the Health and Clinical Research sector. 

If the reader has known us for a long time, they will have heard us mention on several occasions that the vast majority of the clinical information generated in our National Health System is stored in an unstructured format, normally in text format, which prevents its analysis and exploitation by the hospitals themselves. You will have read us saying that current technology allows us to structure this data through what we know as Natural Language Processing, generating structured databases that are now fully analyzable and exploitable. Well, once those structured databases are available, how do we use them? What do we do with them? 

The data is extremely sensitive and complex, requiring elaborate and time-consuming planning to create a clinical study or trial, present it, pass the required administrative filters, and approve it. 

And yet we need to use data now, not in 3 months. Can you imagine a sales director waiting 3 months to know the sales data of his company? Or a financial analyst waiting 3 months to know the movements in his bank’s balance sheet? Me neither. Why, then, should an investigating clinician wait 3 months to find out if there are enough patients who meet the inclusion or exclusion criteria in a center to launch their clinical trial? 

It is true, the sensitivity of clinical data has nothing to do with sales or movements in bank accounts. But the key is to aggregate the data: the sales manager does not know where his customers live, nor does the analyst know where each customer of the bank is spending their money. If the researcher does not need to know who the patient is, but only to understand how many there are who meet a certain profile, why wait? 

From this reflection, Compass is born. 

What is Compass?

If you want to know more about what Compass is, don’t hesitate to contact us. Write to us at  info@iomed.health