SHiELD will provide models and analysis tools for automated identification of end-to-end security risks and compliance issues. The project will also provide faster and more cost effective methods to verify and monitor compliance with multiple sets of applicable regulations.
SHiELD case studies will address cross border scenarios in which a citizen needs to access their health data, which is held in their country of origin, as well as in the case of emergency care where a clinician needs to access data that resides in a source system in their home country.
SHiELD will also create opportunities for using health data to create such products and services addressing the common European Market. SHiELD will provide guidance in best practice to achieve end-to-end security and data protection compliance in health and health related applications.
In the past few years, IBM Research – Haifa has been working on different types of obfuscation technologies. One of these technologies is the Data Masking Toolkit. This technology can be used to preserve the data owner privacy, to enforce the data owners consent and comply with legal regulation (such as GDPR). Data masking is the process by which sensitive data is replaced, possibly in a reversible manner, with data that is unintelligible to receiver. The masked data is usually sensitive data, such as personally identifiable information (PII), health information, names, addresses, and so on. As part of the Shield project, IBM Research – Haifa has made several advancements to the toolkit. These include improvements to the service Rest API’s, providing persistency for masking policies, developing of a new GUI for managing and testing policies as well as advancements in the deployment processes. Next, we will be focused on successfully applying the data masking toolkit to the use case requirements (e.g. Clinical Document in epSOS format).Find out more »