Health Law and Policy Commons^™

Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen

Law & Economics Working Papers

While artificial intelligence has substantial potential to improve medical practice, errors will certainly occur, sometimes resulting in injury. Who will be liable? Questions of liability for AI-related injury raise not only immediate concerns for potentially liable parties, but also broader systemic questions about how AI will be developed and adopted. The landscape of liability is complex, involving health-care providers and institutions and the developers of AI systems. In this chapter, we consider these three principal loci of liability: individual health-care providers, focused on physicians; institutions, focused on hospitals; and developers.

Reconnecting The Patient: Why Telehealth Policy Solutions Must Consider The Deepening Digital Divide, Laura C. Hoffman

Law Faculty Articles and Essays

This Article will attempt to untangle the complicated web of providing telehealth to those populations it is potentially capable of further alienating from access to healthcare including: 1) race/minority populations, 2) aging adults, 3) individuals with disabilities, 4) non-English speakers, 5) individuals living in rural areas, 6) socioeconomic class, and 7) children, in order to advance the argument that telehealth can be successful in providing healthcare access to these populations. Rather than suggesting that telehealth simply "cannot work" for these populations, instead consideration can and must meet these individuals through technology, access, and policy developments.

First, this Article will explain …

Regulation Of Health-Related Artificial Intelligence In Medical Devices: The Canadian Story, Michael Da Silva, Colleen M. M. Flood, Matthew Herder

Articles, Book Chapters, & Popular Press

Artificial Intelligence (AI) may transform Canadian healthcare. The hope is that AI will enable more accurate and efficient care, thereby solving many access, quality, and safety problems. Yet, despite this tantalizing prospect, there are risks of unsafe AI harming patients, algorithmic bias, and threats to privacy. This work begins analysis of whether applicable Canadian laws are up to the task of ensuring Canadians can benefit from effective health-related AI while minimizing AI-related risks. It focuses on Health Canada’s regulation of medical devices, a ‘first line of defence’ that decides which devices are safe, effective, and thus permitted for trade in …

A Unified Theory Of Data, William Magnuson

Faculty Scholarship

How does the proliferation of data in our modern economy affect our legal system? Scholars that have addressed the question have nearly universally agreed that the dramatic increases in the amount of data available to companies, as well as the new uses to which that data is being put, raise fundamental problems for our regulatory structures. But just what those problems might be remains an area of deep disagreement. Some argue that the problem with data is that current uses lead to discriminatory results that harm minority groups. Some argue that the problem with data is that it impinges on …

Enlightened Regulatory Capture, David Thaw

Articles

Regulatory capture generally evokes negative images of private interests exerting excessive influence on government action to advance their own agendas at the expense of the public interest. There are some cases, however, where this conventional wisdom is exactly backwards. This Article explores the first verifiable case, taken from healthcare cybersecurity, where regulatory capture enabled regulators to harness private expertise to advance exclusively public goals. Comparing this example to other attempts at harnessing industry expertise reveals a set of characteristics under which regulatory capture can be used in the public interest. These include: 1) legislatively-mandated adoption of recommendations by an advisory …

The Social Context Of Oncofertility, Dorothy E. Roberts

All Faculty Scholarship

A field known as oncofertility provides female cancer patients with a variety of ways to preserve their fertility so that they may bear genetically related children after successful cancer treatment. Some women delay cancer therapy so doctors can collect their eggs, which are then cryopreserved in an unfertilized state or used to create embryos through in vitro fertilization for freezing. An experimental procedure for preserving the fertility of prepubertal girls, known as ovarian tissue cryopreservation, involves surgically removing their ovarian tissue and growing the immature eggs to a mature state so they can be frozen and stored until the girls …