How hospitals visualize data
If organizations don’t know where their data is and what it looks like, they can’t adequately protect it. Finding patient information within an organization is not an easy task and often requires computer programming skills.
Outdated technology that leverages rule-based pattern matching to identify whether something is protected health information is difficult to get right at best and is difficult to protect healthcare organizations from the greatest risks. It’s not enough anymore.
However, advances in artificial intelligence are enhancing solutions for identifying and inventorying electronic protected health information (ePHI). Through the power of deep learning, AI models are trained to identify ePHI without the need for tedious programming efforts or the need to continually fine-tune, test, and analyze large numbers of search patterns and detection rules. It can imitate human abilities. This process is outdated and limits organizations that want to scale.
learn more: How AI is making healthcare smarter.
How hospitals can respond to increased standardization and compliance
of National Institute of Standards and Technology Provides guidance and resources to implement security measures that comply with the HIPAA Security Rule. This rule protects ePHI held or maintained by HIPAA-regulated organizations to better protect patient information and reduce the impact of cyberattacks.
As stated in NIST 800-66r2 Document: “ePHI created, received, maintained, or transmitted by a regulated entity must be protected from reasonably anticipated threats, hazards, and unauthorized uses and/or disclosures.”
This document provides the latest and critical implementation guidance for HIPAA-regulated entities to proactively protect patient data and identify and manage ePHI risks. As the de facto standard of best practices, NIST 800-66r2 directs organizations to develop incident response plans for all areas where ePHI is used, stored, or shared.
The first step to accomplishing this is to identify all the locations and so-called junk drawers of ePHI outside of electronic health record systems. Medical institutions cannot manage what they cannot see. To protect this data from cyberattacks, you must first identify and inventory your ePHI. That’s where an integrated cloud-native application protection platform can help.
Healthcare organizations looking to modernize their cybersecurity approach should consider an AI-powered data security platform to help identify and inventory ePHI. Traditionally, this was done through older, rules-based systems that became more complex. Over 80% of healthcare data is unstructured.
Healthcare organizations can leverage AI-powered solutions to manage and identify ePHI, reduce risk, and save money. Companies that have been successful with such solutions report that their risk to cyber attacks is minimized, fewer resources are required for data management, and cyber insurance premiums are reduced.
explore: Here are five questions to ask about generative AI in healthcare.