Site icon

The Healthcare Challenge: Protecting Patient Data Privacy During a Global Pandemic

The Healthcare Challenge - Protecting Patient Data Privacy During a Global Pandemic

Image source: Shutterstock

The spread of the COVID-19 pandemic has presented challenging issues for healthcare providers around the world like never before. There has been a huge increase in the number of critical patients, a change to supporting existing patients ‘virtually’ in order to limit the spread of the pandemic, and temporary requirements to report to different government institutions. These changes present challenges to protect patient data that security and privacy professionals have never seen before – at least not to this vast extent and with this amount of urgency.

Healthcare organisations are bound by several stringent regulatory requirements (including HIPAA) to protect patient data privacy. However, these may not be stringent enough to protect the most vulnerable in these unprecedented times. Most mature organisations do have processes and controls in place to manage and monitor access to patient data. However, with the sudden shift to remote visits and sudden changes in reporting requirements, healthcare institutions are facing a variety of unique challenges. With this in mind, there are several steps that healthcare institutions can take in order to increase their cybersecurity, comply to various longstanding and temporary regulations, and protect patient personal health information.

These many issues can be rectified by utilising the right data privacy monitoring partnership. Enterprises seeking to bolster their security posture and regulatory compliance frameworks should look to focus on two key aspects of security: the employees accessing the record and the patient whose records have been accessed. Monitoring this activity involves analysing and correlating events across the IT infrastructure in order to detect any suspicious patterns.

These suspicious patterns can help to reduce the numerous insecurities from internal threat such as unauthorised access to patient data by employees, patient data snooping from family or co-workers, or ransomware anomalies. Furthermore, the right patient data protection system will isolate unusual record access from unexpected locations or multi-location access that may lead to compromised records. Additionally, these services can be used to prevent unusual VIP record access such as failed logins from high-ranking employees or download spikes from unexpected locations. This means that any worker who leaves the company should have their account terminated and deprovisioned. This is especially true for users with privileged access to sensitive data, and even dormant user accounts should be considered dangerous if they still have access to any form of patient data. Finally, the correct security protocol will have the ability to limit access to discharged or deceased patient records while complying to a multitude of privacy regulations, both specific to the healthcare vertical such as HIPAA or HITRUST, or more general frameworks such as GDPR.

By leveraging cutting edge machine learning and the affordances of artificial intelligence to identify threats to patient data, healthcare institutions can look to quickly and accurately predict and prevent cybercriminals who are taking advantage of these uncertain times to make a profit at the expense of those that work the hardest to protect the vulnerable.

By Nitin Agale, VP or product and strategy at Securonix

Exit mobile version