Role Of Machine Learning And AI In Healthcare Cybersecurity - Forbes Middle East

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.