|News forms of identity management from AI and machine learning can help practices in health systems and hospitals remain productive and secure / Credits: Blue Planet Studio via Shutterstock|
With the increasing cyber threats, industries need to be extra careful with their data, particularly the healthcare industry. The industry produces more data than any other sector. Unfortunately, it is not equipped to fully protect the sensitive information of patients and hospitals. These data are extremely vulnerable due to the double-digit year-over-year growth of the medical internet of things (IoT) alongside a more data-driven approach to patient care.
Matthew Radcliffe, tech company SailPoint Vice President of Healthcare, says that some healthcare organizations have no existing safeguard for those who need access to healthcare data and when it is going to require new levels of sophistication and foresight. “In general, less than 3% of a health system budget is spent on IT. Outside of their core clinical, the investment in IT has not kept pace with the speed of growth and expansion, but if we make identity management processes more efficient through the lens of healthcare; healthcare organizations can reprioritize IT resources and invest more inpatient care,” Radcliffe said.
Fortunately, artificial intelligence and machine learning have new forms of identity management that can help practices in health systems and hospitals remain productive and secure. According to HealthITSecurity.com, the leading online resource for the latest news and product information on all health IT security topics, new forms of identity management powered by AI and machine learning can potentially eliminate inefficiencies without introducing risks to health data security and privacy.
A predictive, AI-driven approach can reduce redundancies. This can help healthcare organizations as they can securely and efficiently give staff access to the data while improving identity governance. “It's very easy to demonstrate an ROI around productivity and how these solutions can help staff gain access sooner and more securely,” Gianni Aiello, Director of Product Management at SailPoint, explained.
Aiello added that AI and machine learning can help organizations reduce the potential risk of incorrect access by 10% to 30%. At the same time, these technologies can improve productivity around governing access by up to 60%.