Legal Considerations for Machine Learning in Healthcare: Contractual Issues and Risk Management
This webinar will address important legal considerations when healthcare providers use machine learning. Significant contractual issues worthy of negotiation will be covered, in addition to strategies for managing risk when using machine learning in healthcare.
Key topics to be discussed:
- Overview of machine learning in healthcare
- Standard of care implication
- The importance of informed consent
- Privacy and security considerations
- Contractual issues, including indemnifications, representations and warranties, and insurance requirement
Speaker
Carolyn V. Metnick | Sheppard Mullin
Carolyn Metnick is a partner in the Corporate Practice Group in the firm’s Chicago office and a member of the Healthcare and Privacy & Cybersecurity Teams.
Carolyn represents a range of healthcare industry clients, including hospitals and health systems, physician organizations and digital health companies. She advises on healthcare regulatory and transactional matters with a focus on health information privacy and security.
Carolyn advises clients on a range of privacy and security laws, including HIPAA and the California Consumer Privacy Act (CCPA). She also counsels businesses in data breach investigations and compliance with federal and state breach notification laws. Carolyn is a Certified Information Privacy Professional/United States (CIPP/US) and a Certified Information Privacy Professional/Europe (CIPP/E).
Carolyn also represents healthcare industry clients in transactional matters. She guides clients through joint ventures, mergers and acquisitions, and advises on healthcare regulatory issues. Her background as a former litigator helps inform her transactional work.
More information is available here Legal Considerations for Machine Learning in Healthcare: Contractual issues and risk management | myLawCLE