Skip to main content

New German EHR data protection law planned

German Federal Health Minister Jens Spahn is planning a new law to control when and what doctors can access on patients’ electronic health records (EHR).

Spahn, a member of Chancellor Angela Merkel’s conservative CDU Party, told Germany newspaper Tagesspiegel that he wanted to improve data protection measures for the new German EHR, the eGK, which is planned to enter service in January 2021.

The announcement follows a report by Germany’s Chaos Computer Club (CCC), a group of ethical cybersecurity hackers, that they had discovered significant and systemic security flaws in the eGK EHR.

Spahn told Tagesspiegel that he plans to meet with representatives of the CCC to discuss their findings.

The CCC discovered that doctors’ and GP practice ID smartcards had a number of vulnerabilities that could be used to expose data on patients’ health records.

As a result, no further doctors or practice ID smartcards are being issued until their security flaws have been fixed.

Further reading:
Labels:

Comments

Post a Comment

Popular posts from this blog

Austria develops Smart Covid-19 Test

Austrian low power sensor firm ams AG has received funding from two Austrian Government ministries to develop a smart device to provide accurate testing for Covid-19. The hand held device is directly connected to a "medical data cloud", does not require a laboratory, and can deliver accurate test results within 15 minutes. The two Austrian Government departments funding the new device are the Federal Ministry of Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK), and the Federal Ministry for Digital and Economic Affairs (BMDW). ams has used the funds to develop a connected, smart version of a lateral flow test (LFT) device. Lateral flow tests are a standard approach for rapid point of care (PoC) testing. LFTs, which are usually analogue devices, are typically intuitive and easy to use, and are subject to strict regulatory requirements. A pregnancy strip test is a typical example of an analogue LFT device. The challenge for ams was threefold: to cre...
Post a Comment
Read more

Heidelberg develops Unsupervised AI for motor disease

Researchers at the universities of Heidelberg in Germany, and Zurich in Switzerland have developed an AI model to detect human motor impairments and determine underlying diseases. The new software is also a test for how effective unsupervised AI behaviour analysis can be in discovering and determining complex disease states. Conventional supervised instrumented movement analysis is time-consuming, potentially subjective, and cost-intensive. It requires prior knowledge of behaviours of interest, and typically a large amount of video frame annotation. There is scope for human annotator bias, with different annotators focusing on different behaviours, while ignoring or minimising others. The researchers have developed uBAM ("unsupervised Behaviour Analysis and Magnification using Deep Learning"). This is a fully automatic, unsupervised diagnostic support system for behaviour analysis. The new system can extract and classify behaviour automatically, with the ability to compar...
Post a Comment
Read more