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MGMA Insights: Navigating Cybersecurity and Generative AI in Healthcare with Chris Bevil

MGMA Insights: Navigating Cybersecurity and Generative AI in Healthcare with Chris Bevil

Update: 2024-09-17
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Welcome to another episode of the MGMA Insights Podcast. Your host, Daniel Williams, Senior Editor at MGMA, is joined by Chris Bevil, Chief Information Security Officer at InfoSystems, Inc., Tennessee. Chris, a leader in health informatics and cybersecurity, brings over two decades of experience to the table, and today he dives deep into one of the most crucial topics in healthcare: how medical practices can navigate the complexities of cybersecurity and generative AI. Chris also shares his journey, from collegiate baseball to healthcare cybersecurity, adding a personal touch to this insightful episode.


Major Takeaways:

  • Generative AI and Cybersecurity: Chris clarifies the distinction between AI and generative AI (Gen AI), emphasizing that while AI is evolving rapidly, it won’t replace jobs as long as people are willing to learn and adapt. As he points out, "You constantly have to have humans in the loop. AI isn’t going to take your job if you're willing to embrace it and learn how to use it."
  • Guardrails for Generative AI: Chris highlights the importance of healthcare organizations establishing clear policies for the effective and compliant use of generative AI. "You need to have a defined strategy for your organization because you don’t know where the data is going when you use tools like ChatGPT."
  • Training Employees for Cybersecurity: Chris underscores the importance of ongoing training to protect against phishing and other cyber threats. "You can build all the firewalls in the world, but the human element is still the weakest link. Training your people to recognize phishing and other threats is essential."
  • AI-Driven Data Privacy: In an AI-driven environment, safeguarding patient information is a top priority. Chris warns that many tools, like ChatGPT, may not be secure enough for handling patient data. He advises, "Be careful about putting personal data into generative AI tools. Ensure you're using secure platforms designed with privacy in mind."
  • Simple Strategies for Cybersecurity: Despite the complexity of cybersecurity, Chris encourages practices to focus on foundational principles like risk assessments, governance strategies, and employee training. "It’s all about having a framework in place to mitigate risks. Training your team is the best defense."

Resources:

Be sure to join Chris Bevil at the MGMA Leaders Conference on Monday, October 7th, for his session, Navigating Cyber for Gen AI in Practice, where he will provide deeper insights into the cybersecurity challenges and opportunities presented by generative AI.



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This podcast is brought to you by ZOLL Data Systems software and data solutions for healthcare financial professionals. ZOLL A-R Boost is the comprehensive, automated R-C-M optimization solution suite that automatically finds, corrects, and verifies patient and payer information ​to capture more revenue, reduce administrative burden, and improve the patient financial experience. The #1 Black Book rated Insurance Discovery tool can discover active, billable coverage for more than 40% of claims. Visit www.ZOLLData.com/A-R Boost to learn about the complete solution suite.

MGMA Analytics
In the ever-changing world of healthcare, it's important to leverage data to make informed decisions and quick adjustments to your business, especially regarding your revenue cycle strategy and operations. MGMA Analytics is an advanced cloud-based analytics tool that delivers immediate access to real-time business insights derived from your internal financial, operational and telehealth data, which you can use to keep your practice running at optimal performance. Visit https://www.mgma.com/analytics to learn more.

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MGMA Insights: Navigating Cybersecurity and Generative AI in Healthcare with Chris Bevil

MGMA Insights: Navigating Cybersecurity and Generative AI in Healthcare with Chris Bevil

MGMA