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Patient Privacy

Interoperability and EHR Optimization

Report Writing

How AI Impacts the Future of Patient Privacy Monitoring

Written by Rich Murphy, Product Director - iatricSystems

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With Cybersecurity Awareness Month right around the corner (October), now’s the time for healthcare security teams to review their security positioning and begin to strategize about how they can improve.

Many hospitals are keeping their eyes on the increase in healthcare breaches over this past year and, specifically, how internal threats put patients at risk. Here are a few stats to pay attention to:

  • 48% of all breaches are caused internally (2020 Verizon Data Breach Investigators Report)
  • 75% of insider threats go unnoticed (CERT Insider Threat Center Study)
  • Insider breaches are 2x more costly than external threats (CERT Insider Threat Center Study)

Whether internal users act with malicious intent, out of curiosity or purely accidentally, compromised patient data can lead to excessive fines, bad publicity and a damaged reputation.

The best solution is to proactively identify suspicious activity before it becomes a breach. Most hospitals have already begun this process by automating some PHI access monitoring, and now it’s time to look into artificial intelligence to give their privacy team an even better way to manage patient privacy monitoring.

As a 2020 CyberSecurity Awareness Champion, and sticking with this year’s theme “Do Your Part, #BeCyberSmart,” we’re spending the month of October helping healthcare organizations ensure they’re cyber secure.

We recently announced the launch Haystack™ iS, the next-generation patient privacy monitoring solution using artificial intelligence. But before we dive into all the ways Haystack iS can help your privacy team, let’s define what exactly is artificial intelligence and why it’s a good fit for hospitals.

Not All Artificial Intelligence is Created Equal

You’re likely already benefiting from artificial intelligence in your daily life. Have you ever asked Siri a question or used predicted text when messaging a friend? That’s called weak or narrow artificial intelligence, and it uses algorithms and programmed responses to simulate intelligence.

While Siri and Alexa can give you basic information like the weather for today, they struggle with “understanding” intricate patterns and making sense of large amounts of data for in-depth knowledge.

Weak artificial intelligence is too simplistic for healthcare and won’t give users the information they need to make smarter decisions. Instead, advanced artificial intelligence uses representational and deep learning to recognize patterned behaviors, analyze data and get smarter with every interaction.

With millions of PHI interactions taking place in your systems daily, it’s nearly impossible for your privacy teams to detect truly suspicious activity on their own. It also leaves them little time to focus on new security strategies to keep up with evolving privacy challenges.

Haystack iS weaves together multiple layers of advanced artificial intelligence and 16 years of expert-written rules and data paths to help privacy experts spot anomalous behavior faster than ever to proactively prevent breaches.

Security Strategies Must Evolve with Time

As your patient privacy needs intensify and change, how you leverage technology to strengthen security will change too. Overcoming new complexities requires that you stay on top of the latest research and innovative solutions to stay steps ahead of intentional and unintentional risk.

We’ve only scratched the surface of the capabilities of Haystack iS and how it can simplify and strengthen patient privacy monitoring. There’s still a lot to uncover, and privacy monitoring is just one piece of the privacy and security puzzle.

Join us on October 27 – 29 for the iatricSystems 2020 Fall Exchange to learn how hospitals can overcome a variety of challenges from privacy and security to nursing and clinical. Day one is dedicated to strengthening privacy and security for the healthcare sector. You’ll hear from security experts within the industry, connect with peers, and ask any of your questions surrounding privacy and security and how to plan for the future. Check out the full agenda and register now!

 

Topics: patient privacy, patient privacy monitoring, Healthcare IT, covid-19, artificial intelligence, machine learning

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