Artificial Intelligence How to prepare yourself for the Artificial Intelligence wave in Digital Health - Pt.1 Privacy can limit the amount of available data in healthcare. Sometimes, It seems like it is not possible to benefit from the AI advantages while keeping intact and safe patients’ data.
Anonymization A guide to health data analytics and BI Analytics and BI are essential for business. But what if you handle sensitive health data? Here, we explain what you need for health data BI and analytics.
GDPR Compliance How to implement pseudonymization: your key questions answered Pseudonymization is a sensible security precaution but it will not make your application GDPR compliant by itself. In this blog we look in more detail at pseudonymization and the implications of using it.
GDPR Compliance GDPR fines – 7 key lessons for healthcare GDPR fines are starting to bite. Find out about 3 of the most recent rulings from across Europe. Then read the 7 most important lessons the fines teach us.
Anonymization Storing data on a user's device under GDPR By storing data locally on a user's device, you have fewer administrative obligations compared to when you transfer and process data in the cloud. However, you still need to provide methods to delete data in case of device theft or loss.
Encryption Pseudonymization and Encryption of Health Sensitive Data As a Digital Health Enterprise, one of your first concern should be how to protect the health sensitive data that you are collecting from your users and storing/managing in your service.
