Artificial Intelligence (AI) may help healthcare organizations leverage patient data in novel ways to transform the industry by unlocking insights, driving quality and efficient improvements, and controlling costs. Yet, the development of AI continues to outpace current regulations which can create various legal risks and pose ethical questions.
This course, presented by Alaap Shah and Audrey Davis of Epstein Becker & Green, will prepare attorneys to understand the landscape of legal and ethical issues related to AI in healthcare. The program will also help attorneys learn how to navigate risks associated with the development, implementation and use of AI in healthcare.
Learning Objectives:
• Examine the definition of AI and some examples of how it is currently applied in healthcare
• Grasp the legal and ethical issues related to AI, with a focus on questions of privacy and cybersecurity
• Discuss regulation of AI including scope and limitations of existing law and efforts to further regulate AI
Presenter Bios
Audrey Davis focuses her practice on health care compliance; telehealth and telemedicine; privacy, cybersecurity, and data asset management; and government investigations and litigation.
Audrey advises clients on compliance with state and federal laws affecting the provision of telehealth and telemedicine services, including issues related to scope of practice, licensure, online prescribing, reimbursement, and coverage. She counsels clients on compliance with HIPAA privacy and security rules and other relevant privacy laws, rules, and regulations regarding protected health information. She assists clients with legal issues related to big data analytics and digital health strategies, drafts privacy and security policies, data licensing agreements, and business associate agreements on behalf of HIPAA covered entities and business associates
She establishes compliant contracting strategies and guides clients through the legal and ethical issues related to artificial intelligence in health care and how to navigate associated risks
She defends health care and life sciences companies in litigation as well as in connection with federal and state government investigations, False Claims Act qui tam actions, and internal investigations related to health care fraud.
Audrey is a contributing author of Epstein Becker Green’s Telemental Health Laws app, a comprehensive survey of state telehealth laws, regulations, and policies for mental and behavioral health practitioners and stakeholders across all 50 states, the District of Columbia, and Puerto Rico. She is also a contributor to the firm’s Health Law Advisor Blog.
Alaap Shah deftly guides clients through complex and ever-evolving privacy, cybersecurity, medical device, artificial intelligence (AI), interoperability, digital health, telehealth, fraud and a He helps clients build trust among stakeholders so that clients can robustly collect, share, analyze, and protect data and information technology assets. Alaap also can translate “IT speak” for legal, compliance, and business people.
Clients appreciate that Alaap takes a strategic and pragmatic approach to risk management that bridges the gap among legal, compliance, IT, and business teams so that they can succeed in developing and marketing innovative and cutting-edge solutions. In the area of data and interoperability, Alaap seeks ways to maximize data value. In the area of AI, Alaap navigates issues at the intersection of law, technology, and data in the health care and life sciences space.
Alaap’s clients include all types of health care, life sciences, data analytics, and technology companies at various stages of development. He also represents startup companies in the United States and abroad that are developing digital health applications, medical devices, telehealth solutions, AI, and data analytics platforms. In addition, he works with mid-size to large companies
*This program is not for legal ethics credit.*
If you intend to take a course for CLE credit, please make sure your state is listed in the "Accreditation" section to the upper right of the program description. Accreditation displayed is unique to the purchased program format (live conference, live webcast, on demand, podcast). Credit totals listed for live conferences are the maximum credits available. Credits issued will be based upon actual time in attendance. Credit totals for other formats are for complete programs. Partial credit is not available for any online or downloadable format.
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