Improving Health Center Cybersecurity: Risk Assessment, Breach Defense, Mitigation, and Response Learning Collaborative - Session 3

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Event date: 11/14/2023 12:00 PM - 1:00 PM Export event
Improving Health Center Cybersecurity: Risk Assessment, Breach Defense, Mitigation, and Response  Learning Collaborative - Session 3

Virtual Learning Collaborative

It's time to reconsider your strategy if you still treat cyber risk as an annual project or initiative. Having a thorough ongoing program in place means that even in the worst-case scenario, you'll be ready to demonstrate that you did what was reasonable and appropriate to protect your systems and patient data. Nothing can guarantee that a cyberattack won't become a breach. Health Centers are a domain with a high potential for data breaches, and the risk continues to grow as health centers use new tools and the introduction of artificial intelligence (AI). As a result, it is crucial for health center leadership to adopt breach prevention strategies across their entire organization, as opposed to relegating it to the IT department. 
To support health centers in their cybersecurity strategy and implementation, the HITEQ Center is offering a free learning collaborative -- Improving Health Center Cybersecurity: Risk Assessment, Breach Defense, Mitigation, and Response. This learning collaborative will involve four structured virtual learning sessions. During the series participants engaged with subject matter experts and their colleagues in peer-to-peer learning and discussion. Topics included: health center breach mitigation tactics, operationalizing cybersecurity to better mitigate risks, cybersecurity implications of generative artificial intelligence in health centers, and incident response planning from a cybersecurity perspective.

Session 3: Cybersecurity Implications of Generative Artificial Intelligence in Health Centers
Generative Artificial Intelligence (AI) technologies (e.g., ChatGPT, Google Bard) has exploded in 2023, catapulting new forms of rapid processing of text, audio, visual data (i.e., large language models and machine learning) to the forefront including in healthcare. The rapid rise forces health centers to grapple with what possibilities AI has to offer and it’s many potential risks. Both in terms of provision of care as well as in management of IT and related services. As these new tools are introduced and integrated to address acute and future needs, it becomes critically important to ensure that patients' data remains secure. This session will discuss recommendations and strategies for assessing risk and improving cybersecurity policies and procedures in relation to AI and it’s attendant technologies.

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