Industrialitzation of healthcare services

Stroke management

Stroke management

Stroke care is time sensitive. Early identification and appropriate management in the initial hours after the event are associated with lower morbidity and mortality as well as a reduction in healthcare costs. The annual economic costs of stroke in the EU is of approximately €38 billion/year (50% direct health costs, 22% productivity loss, 29% informal care of people with stroke).1


€38bn per year

50 %

direct health costs

22 %

productivity loss

29 %

informal care

Led by Elisabeth-TweeSteden Ziekenhuis, this pilot aims to improve outcomes and thereby reduce the overall cost of stroke by using big data to identify and remove bottlenecks in time-critical, hyper-acute stages of the workflow.

Why a big data approach is needed

Big data is required to address this problem due to the volume (data generated from the intervention of multiple healthcare professionals and the use of multiple facilities), velocity (e.g. real-time data will be generated form the Real-Time Locating Systems), variety and veracity and value (e.g. resource optimization in emergency department and time reduction for diagnosis and treatment).

Other outcomes expected are: better asset, installations and staff management, increased patient safety and increased patient throughput through the emergency department. Weaknesses in the workflow will be identified by combining all information helping to develop improved protocols.

Campus Excellence UPM


Pillot 9: Stroke management


Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

1 Source: Nichols M, Townsend N, Luengo-Fernandez R, Leal J, Gray A, Scarborough P, Rayner M. European Cardiovascular Disease Statistics 2012. European Heart Network, Brussels, European Society of Cardiology, Sophia. Antipolis. 2012.


Related news: