Roshni Edalur

As healthcare organizations deploy AI in imaging, diagnostics, and remote patient monitoring, legal and regulatory questions are becoming increasingly difficult to ignore AI is increasingly being used to support diagnostics, medical imaging, and remote patient monitoring. While these tools can improve efficiency and expand access to care, they also raise important questions about privacy, transparency, bias, patient consent, and responsibility for clinical decisions.

AI is accelerating drug discovery while raising new privacy, intellectual property, and regulatory considerations. AI is increasingly being used to identify drug candidates, model biological interactions, and support pharmaceutical research. As these tools become more sophisticated, organizations should consider privacy, intellectual property, and regulatory issues that may accompany their use.

Using health data for AI-driven population health analytics: key legal and compliance considerations. AI can help organizations identify population health trends, improve quality initiatives, and support public health planning. Before using health data for these purposes, organizations should understand the legal pathways that permit data use and the governance considerations that apply throughout the AI lifecycle. HIPAA permits several distinct pathways for AI-enabled health analytics.