Growing Use of AI in Healthcare Raises Security and Compliance Concerns
The landscape of artificial intelligence (AI) in healthcare is set to expand significantly in 2026, with applications that range from back-office automation to clinical decision support systems. This surge in use cases brings along heightened concerns regarding privacy, security, and legal risks, as emphasized by Wendell Bartnick, an attorney with Reed Smith. In his recent interview with Information Security Media Group, Bartnick outlined how crucial governance will be in navigating these complexities.
Bartnick pointed out that, while the risks associated with AI can vary depending on specific applications, all healthcare entities exploring AI deployments need to prioritize effective governance measures. He highlighted the importance of the National Institute of Standards and Technology’s AI Risk Management Framework as a foundational resource for understanding these risks. With a lack of extensive regulatory guidance, organizations are urged to adhere to this framework as they develop their AI strategies.
The legal landscape is particularly fraught when it comes to AI in healthcare. Bartnick noted several crucial risk areas, including potential breaches of security and privacy, and compliance with evolving regulations. The complexities related to agentic AI—systems capable of autonomous decision-making—add another layer of concern, especially in critical applications like mental health chatbots and patient interaction recordings. The potential risks extend to patients resorting to self-diagnosis and self-treatment through AI tools, further complicating the ethical and legal landscape.
Bartnick, who brings a background in computer science to his legal practice, advises on a range of data rights and cybersecurity issues, particularly in sectors including healthcare and biotech. His insights offer invaluable guidance for organizations grappling with the intersection of technology and regulatory compliance. Key areas of focus include the commercialization of AI technologies, governance practices, and the strategic partnerships necessary for navigating regulatory hurdles.
For business owners in the healthcare sector, staying informed on these emerging challenges is essential. As the use of AI becomes increasingly integrated into healthcare systems, understanding the associated risks—including the possibility of data breaches and compliance violations—will be critical. The application of the MITRE ATT&CK framework can serve as a reference for identifying likely adversary tactics, such as initial access and privilege escalation, that could be relevant in scenarios involving AI-driven healthcare solutions.
As the regulatory landscape adapts to these technological advancements, the demand for robust governance frameworks will only intensify. Stakeholders in healthcare must remain vigilant to navigate the evolving risks posed by AI while harnessing its transformative potential. Staying ahead of these trends will be vital for minimizing vulnerabilities and ensuring compliance in an increasingly complex digital ecosystem.
