The Exploit Prediction Scoring System (EPSS) can help healthcare organizations prioritize security vulnerabilities, but it has limitations in IoMT environments. While EPSS provides valuable data-driven prioritization, it should be combined with other risk assessments, cybersecurity frameworks, and strategies to more comprehensively secure healthcare systems’ IoMT devices.
Healthcare cyberattacks are becoming more common and more costly—both financially and to patient care continuity. Internet-connected IoMT devices and equipment remain a security concern for healthcare delivery organizations. Deeper collaboration between HDOs, medical device manufacturers and security providers is needed to reduce risk and vulnerability.
The dramatic increase of medical devices in patient care has yielded many benefits. However, this technology also carries various risks, including risks to patient privacy, that must be addressed.
The growing availability of 5G networks is speeding the adoption of IoMT and allowing for new innovations, including drone delivery of medical supplies to rural areas, better surgical collaboration and 3D holograms for diagnoses and surgical planning.
Digitally connected healthcare is here to stay, and this moment is an opportunity to capitalize on the expanding potential of technologies that are already helping deliver better patient experiences and outcomes.
Increased awareness during the COVID-19 crisis and public efforts to strengthen the development of healthcare technologies has boosted the smart medical devices sector.
To change the landscape of cyber threats in healthcare, companies must prioritize designing security into devices.
Data, IoT, artificial intelligence, predictive analytics, virtual and augmented reality, and many other technologies will fuel the healthcare system.
Although the full impact of COVID-19 is uncertain, one sure thing is that industry continues to crave information to help them navigate EU MDR.
Across our industry, IoMT will enable us to conduct research in ways that would never previously have been possible.
