Security and Resilience in eHealth: Security Challenges and Risks

Studies have shown that cyber security incidents in eHealth systems can have a great societal impact. In a recent ENISA study, twelve out of eighteen Member States (MS) that participated in the survey- consider healthcare as a critical sector, therefore they should take all appropriate measures to protect their ICT systems and assets.

The scope and governance model of eHealth services may vary in the Member States (MS); it might be implemented as centralised or even decentralised and may be extended, offering cross-border services. Additionally, critical assets identification in the healthcare systems and infrastructures may be based on different criteria, such as business continuity, data security and integrity, services availability, eHealth security policy and legislation. Moreover usual practices, cyber security challenges, approaches to mitigate risks, and requirements for the eHealth infrastructures may converge, diverge or be inadequate.

The aim of this study is to investigate the approaches and measures MS take to protect critical healthcare systems, having as a main goal improved healthcare and patient safety. In that respect this study analyses:

  • The policy context in Europe and the legislation of the Member States
  • The perception of the Member States on critical assets in eHealth infrastructures
  • The most important security challenges
  • The most common security requirements
  • Relevant good practices that have been deployed in the MS for eHealth security

Cyber security incidents affecting eHealth services and infrastructures cause great impact. As a result this study focuses on the availability, continuity and resilience of these systems and infrastructures. Issues like data integrity, data protection and data confidentiality are always important when we talk about eHealth, however this study aims at presenting another side of the same coin. It is important to analyse these systems from the availability and resilience angle to understand how great the societal impact could be should, for example, a network supporting 3-4 regional hospitals not be available.

Download: Security and Resilience in eHealth: Security Challenges and Risks (.pdf, 2.226 KB).

Download from eHealthNews.eu: Security and Resilience in eHealth: Security Challenges and Risks (.pdf, 2.226 KB).

Most Popular Now

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...

Think You're Funny? ChatGPT might b…

A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material. The research team behind the study published on Wednesday, July 3...

Innovative, Highly Accurate AI Model can…

If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...

New AI Approach Optimizes Antibody Drugs

Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...

AI Speeds Up Heart Scans, Saving Doctors…

Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...

Researchers Customize AI Tools for Digit…

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...

Young People Believe that AI is a Valuab…

Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...