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Olivia Dworkin

Olivia Dworkin minimizes regulatory and litigation risks for clients in the medical device, pharmaceutical, biotechnology, eCommerce, and digital health industries through strategic advice on complex FDA issues, helping to bring innovative products to market while ensuring regulatory compliance. With a focus on cutting-edge medical technologies and digital health products and services, Olivia regularly helps new and established companies navigate a variety of state and federal regulatory, legislative, and compliance matters throughout the total product lifecycle. She has experience counseling clients on the development, FDA regulatory classification, and commercialization of digital health tools, including clinical decision support software, mobile medical applications, general wellness products, medical device data systems, administrative support software, and products that incorporate artificial intelligence, machine learning, and other emerging technologies.

Olivia also assists clients in advocating for legislative and regulatory policies that will support innovation and the safe deployment of digital health tools, including by drafting comments on proposed legislation, frameworks, whitepapers, and guidance documents. Olivia keeps close to the evolving regulatory landscape and is a frequent contributor to Covington’s Digital Health blog. Her work also has been featured in the Journal of Robotics, Artificial Intelligence & Law, Law360, and the Michigan Journal of Law and Mobility.

On September 6, Senator Bill Cassidy (R-LA), the Ranking Member of the U.S. Senate Health, Education, Labor and Pensions (HELP) Committee, issued a white paper about the oversight and legislative role of Congress related to the deployment of artificial intelligence (AI) in areas under the HELP Committee’s jurisdiction, including health and life sciences.  In the

Last week, the U.S. Food & Drug Administration (“FDA” or the “Agency”) issued a second discussion paper on the use of artificial intelligence (“AI”) and machine learning (“ML”) with respect to drug and biological products, this time focusing on the use of AI/ML in the drug and biologic development process, “Using Artificial Intelligence &

On March 23, 2023, FDA released a Framework for the use of digital health technologies in drug and biological product development (the “DHT Framework”).  This DHT Framework is on the heels of a Discussion Paper the Agency released earlier this month on the use of artificial intelligence (AI) in drug manufacturing to seek public input

Innovative digital solutions intended to address health issues typically experienced by women have been an area of increased focus.  Ranging from reproductive-related mobile applications to AI-enabled breast cancer screening devices, digital solutions for women+ health show promise to serve an enormous market with medical needs that have often failed to get the level of attention

Digital health technologies, including algorithms for use in health care, are being developed to aid healthcare providers and serve patients, from use with administrative tasks and workflow to diagnostic and decision support.  The use of artificial intelligence (“AI”) and machine learning algorithms in health care holds great promise, with the ability to help streamline care

On January 25, 2022, Senators Patty Murray and Richard Burr (Chair and Ranking Member of the Senate Health, Education, Labor, and Pensions (HELP) Committee, respectively) released a “discussion draft” of bipartisan legislation—the Prepare for and Respond to Existing Viruses, Emerging New Threats, and Pandemics Act (“PREVENT Pandemics Act”)—which contains notable provisions related to digital health. 

Spurred by the realities of the COVID-19 pandemic, FDA has taken a number of regulatory actions to advance the use of digital health technologies (“DHTs”) in clinical trials.  DHTs provide sponsors with opportunities to capture a broader array of information from study subjects than is typically available through traditional study designs.  This includes information from

As we kick off 2022, several recent developments from FDA suggest that this year could be pivotal for the Agency’s digital health priorities.  From new FDA offices and artificial intelligence guidance, to FDA’s user fee commitments and must-pass legislation in Congress, this post outlines five key issues to watch in 2022 related to FDA and

On 27 October 2021, the U.S. Food and Drug Administration (“FDA”), Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (“MHRA”) (together the “Regulators”) jointly published 10 guiding principles to inform the development of Good Machine Learning Practice (“GMLP”) for medical devices that use artificial intelligence and machine learning (“AI/ML”).

Purpose

AI

On June 22, 2021, Congressional leaders Diana DeGette (D-DO) and Fred Upton (R-MI) released a bipartisan follow-up to the 2016 21st Century Cures Act“Cures 2.0”—a “discussion draft” at this stage—is intended to build upon the Cures Act.  The draft lays out several notable policies related to digital health, real-world data/evidence (RWD/E), and