Organization
Erasmus Medical Centre
Location
The Netherlands
Industry
Healthcare
Size
16,000+ employees
Use case
Analytics, Test Data
Target data
Patient data, data from the electronic health record system
Website
https://www.erasmusmc.nl/
Erasmus Medical Center (Erasmus MC or EMC) is the leading hospital based in Rotterdam (The Netherlands) and is one of the most authoritative scientific University Medical Centers in Europe. The hospital is the largest of the eight university medical centers in the Netherlands, both in terms of turnover and number of beds. Erasmus MC ranks #1 of the top European institutions in clinical medicine and #20 in the world, according to the Times Higher Education rankings.
The Smart Health Tech Center (SHTC) of Erasmus MC aims at the integration, development, testing and validation of technologies for health, such as advanced AI-based technologies (e.g. IoT, MedIoT, Active and Assisted Living Technologies), robotics technologies, and sensor and monitoring technologies.
Through these services, the SHTC facilitates the rapid development, testing, and implementation of new co-created ideas to reimagine health care and care delivery, such as synthetic data.
The Smart Health Tech Center (SHTC) of Erasmus MC recently organized the official kick-off for synthetic data. At Erasmus MC, it will be possible to request synthetic data through the Research Suite. Would you like to use a synthetic dataset? Or do you want more information about the possibilities? Please get in touch with the Research Suite via the Research Support Portal or by emailing them.
AI is used to model synthetic data in such a way that the statistical patterns, relationships, and characteristics are preserved to such an extent that the generated synthetic data can even be used for analytics. Especially in the model development phase, Erasmus MC will prefer using synthetic data and always challenge data users with the question: “Why use real data when you can use synthetic data?”
By making smart use of generative AI in the creation of synthetic data, it is also possible to enlarge and simulate datasets, especially when there is insufficient data (data scarcity)
By using synthetic data as an alternative to real data, Erasmus MC can reduce risk assessments and similar time-consuming processes. Synthetic Data enables Erasmus MC to unlock data. Additionally, Erasmus MC can accelerate data access requests. Accordingly, Erasmus MC builds a strong foundation to accelerate data-driven innovation.
Data augmentation techniques can be used to generate and simulate data that can be used for testing purposes.
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