OasisLMS

Clinical, social and administrative applications empowered by Artificial Intelligence, particularly those using “Generative Language Models” (like ChatGPT), are being increasingly marketed to and adopted in medical practices and health facilities. These augment other AI-empowered applications for clinical decision support, communications, image processing, document handling, etc. The benefits and risks, particularly patient safety and professional liability implications of these systems are only beginning to be discovered. COPIC, as a professional liability insurer and patient safety organization is intensely interested in understanding how AI-enabled software and devices will impact best practices in the near and intermediate future. While many practitioners are becoming exposed to marketing and scientific literature related to AI in medicine, many do not have sufficient background in informatics and technology risk assessment to allow them to evaluate these systems or implement them knowledgeably. Through literature review and expert interviews COPIC’s risk managers and legal department have identified technological mechanisms, existing legal principles and potential new hazards that can foreseeably become important in preventing adverse events and defending liability claims related to AI. They have also been following the progress of new regulatory proposals that will impact AI users.

Understand some basic principles and applications of AI and Machine Learning and how these differ from traditional “computer programs.” Identify error pathways and concerns about using AI for medical tasks, such as communication, documentation, and decision-support. Evaluate trends and implications of AI for patient safety, professional liability and regulatory policy, including currently unresolved questions about how legal theories of professional liability apply to AI-enabled applications.

60 min.