Currently leading healthcare security strategy at Cylera, a biomedical HIoT security startup, Richard Staynings has more than two decades of experience in both cybersecurity leadership and client consulting in healthcare. Last year, he served on the Committee of Inquiry into the SingHealth breach in Singapore as an expert witness. He recently spoke to Healthcare IT News on some of the current developments in healthcare cybersecurity. Q. Artificial intelligence (AI) applications in healthcare are all the rage now, and so are cybersecurity threats, given the frequency and intensity of healthcare-related incidents. In particular, some of the cyberattacks have become more sophisticated through the use of AI to get past cyber defenses.

Security threats are major concerns to healthcare organizations due to the value and vulnerability of clinical data that is being recorded and distributed. The value of the data comes from the fact that it is historical in nature; it directly affects our ability to safely treat patients, it takes a long time to rebuild, and it contains more than just clinical data, but also a lot of personal, financial, and demographic data, which allows it to be used for wider identity theft. It is persistent, whereas you can change credit cards and their passwords, PINs and account numbers in the event of a breach, you cannot change your mother's maiden name. The vulnerability comes from the fact that there has been a revolution in healthcare with the interconnection of systems, cloud computing, Internet of Health Things (IoHT) and mobile devices and the changes in working practices of clinicians, such as remote monitoring, telemedicine, and working from home. This revolution has not always been matched with the security awareness, policies, practices, and budgets of health care organizations.

As the new year draws near, healthcare organizations are thinking about where to focus their resources. Matt Mellen, security architect and healthcare solution lead at Palo Alto Networks, predicts that, in 2018, machine learning capabilities will not only enhance a healthcare organization's cybersecurity program, but improve patient outcomes as well. Healthcare IoT has the potential to greatly improve patient care – but it's not without its challenges. Download this essential guide in one PDF and learn how to overcome the obstacles: security, data overload, regulations, and more. You forgot to provide an Email Address.

Machine learning is a hot topic in healthcare right now. One health IT expert told SearchHealthIT that he predicts machine learning and artificial intelligence will move quickly in the industry and be applied to many different use cases. The progression of healthcare IoT, or the Internet of Medical Things, is not without its challenges. Download a PDF of this exclusive guide now and learn how to overcome the obstacles: security, data overload, regulations, and more. This email address is already registered.