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New Podcast | Protecting Your Tech: IP Considerations in Digital Health

Digital health companies are producing innovative products at a rapidly accelerating pace and experiencing a boom in investments and demand as the regulatory environment becomes more supportive of digital health services to both improve patient care and stay profitable. Protecting intellectual property (IP) and building a feasible data strategy to support the research and development endeavor are essential steps for companies in their drive toward commercialization and return on their investment. On this episode of the Of Digital Interest podcast, McDermott partners Bernadette Broccolo (Health) and Ahsan Shaikh (IP), explore key issues for digital health companies, their collaboration partners and investors, and start-ups to consider, including: What is currently patent eligible in the digital health space? What patent-eligible trends and opportunities are we seeing? How do laws governing data sharing among digital health collaborators impact the research and...

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US Office of Management and Budget Calls for Federal Agencies to Reduce Barriers to Artificial Intelligence

On January 7, 2020, the Director of the US Office of Management and Budget (OMB) issued a Draft Memorandum (the Memorandum) to all federal “implementing agencies” regarding the development of regulatory and non-regulatory approaches to reducing barriers to the development and adoption of artificial intelligence (AI) technologies. Implementing agencies are agencies that conduct foundational research, develop and deploy AI technologies, provide educational grants, and regulate and provide guidance for applications of AI technologies, as determined by the co-chairs of the National Science and Technology Council (NSTC) Select Committee. To our knowledge, the NTSC has not yet determined which agencies are “implementing agencies” for purposes of the Memorandum. Submission of Agency Plan to OMB The “implementing agencies” have 180 days to submit to OMB their plans for addressing the Memorandum. An agency’s plan must: (1) identify any statutory authorities...

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Reviewing Key Principles from FDA’s Artificial Intelligence White Paper

In April 2019, the US Food and Drug Administration (FDA) issued a white paper, “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device,” announcing steps to consider a new regulatory framework to promote the development of safe and effective medical devices that use advanced AI algorithms. AI, and specifically ML, are “techniques used to design and train software algorithms to learn from and act on data.” FDA’s proposed approach would allow modifications to algorithms to be made from real-world learning and adaptation that accommodates the iterative nature of AI products while ensuring FDA’s standards for safety and effectiveness are maintained. Under the existing framework, a premarket submission (i.e., a 510(k)) would be required if the AI/ML software modification significantly affects device performance or the device’s safety and effectiveness; the modification is to the...

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On the Digital Health Frontier: Developments Driving Industry Change in 2018

As digital health innovation continues to move at light speed, both new and incumbent stakeholders find themselves on a new frontier—one that challenges traditional health care delivery and payment frameworks, in addition to changing the landscape for product research, development and commercialization. Modernization of the existing legal framework has not kept pace with the rate of digital health innovation, leaving no shortage of obstacles, misalignment and ambiguity for those in the wake. What did we learn in 2017 and what’s to come on the digital health frontier in the year ahead? From advances and investments in artificial intelligence (AI) and machine learning (ML) to the increasingly complex conversion of health care innovation and policy, McDermott’s Digital Health Year in Review details the key developments that shaped digital health in 2017, along with planning considerations and predictions for the health care and life science industries in 2018. ...

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Artificial Intelligence in Health Care: Framework Needed

Although the incorporation of technology into human endeavours—commercial, political and personal—is a normal component of technological innovation, the advent of artificial intelligence technology is producing significant challenges we have not felt or understood with earlier innovations. For many years, for example, there has been speculation, research and public debate about the impact of the internet, the functioning of search engines, and online advertising techniques on commercial and political decisions. The alleged “hacking” of the 2016 US presidential election, and the concerns about such activities in the 2017 European elections, will only heighten the interweaving discussions on free speech, national sovereignty, cyber security and the nature of privacy. The use of artificial intelligence and machine-learning technologies has only added to the list of issues and areas of concern. The consequences of automobile accidents involving “self-driving”...

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