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 requirements
Date: June 21, 2023
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.
I. Overview of machine learning in healthcare | 12:00pm – 12:10pm
II. Standard of care implication | 12:10pm – 12:20pm
III. The importance of informed consent | 12:20pm – 12:30pm
IV. Privacy and security considerations | 12:30pm – 12:40pm
V. Contractual issues, including indemnifications, representations and warranties, and insurance requirements | 12:40pm – 1:00pm