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Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, Will Nicholson Price Ii
Artificial Intelligence In The Medical System: Four Roles For Potential Transformation, Will Nicholson Price Ii
Articles
Artificial intelligence (AI) looks to transform the practice of medicine. As academics and policymakers alike turn to legal questions, a threshold issue involves what role AI will play in the larger medical system. This Article argues that AI can play at least four distinct roles in the medical system, each potentially transformative: pushing the frontiers of medical knowledge to increase the limits of medical performance, democratizing medical expertise by making specialist skills more available to non-specialists, automating drudgery within the medical system, and allocating scarce medical resources. Each role raises its own challenges, and an understanding of the four roles …
Biobanks As Innovation Infrastructure For Translational Medicine, W. Nicholson Price Ii
Biobanks As Innovation Infrastructure For Translational Medicine, W. Nicholson Price Ii
Book Chapters
Biobanks represent an opportunity for the use of big data to drive translational medicine. Precision medicine demands data to shape treatments to individual patient characteristics; large datasets can also suggest new uses for old drugs or relationships between previously unlinked conditions. But these tasks can be stymied when data are siloed in different datasets, smaller biobanks, or completely proprietary private resources. This hampers not only analysis of the data themselves, but also efforts to translate data-based insights into actionable recommendations and to transfer the discovered technology into a commercialization pipeline. Cross-project technological innovation, development, and validation are all more difficult …
The Cost Of Novelty, W. Nicholson Price Ii
The Cost Of Novelty, W. Nicholson Price Ii
Law & Economics Working Papers
Patent law tries to spur the development of new, better, innovative technology. But it focuses much more on “new” than “better” — and it turns out that “new” carries real social costs. I argue that patent law promotes innovation that diverges from existing technology, either a little (what I call “differentiating innovation”) or a lot (“exploring innovation”), at the expense of innovation that tells us more about existing technology (“deepening innovation”). Patent law’s focus on newness is unsurprising, and fits within a well-told narrative of innovative diversity accompanied by market selection of the best technologies. Unfortunately, innovative diversity brings not …
Regulating Black-Box Medicine, W. Nicholson Price Ii
Regulating Black-Box Medicine, W. Nicholson Price Ii
Michigan Law Review
Data drive modern medicine. And our tools to analyze those data are growing ever more powerful. As health data are collected in greater and greater amounts, sophisticated algorithms based on those data can drive medical innovation, improve the process of care, and increase efficiency. Those algorithms, however, vary widely in quality. Some are accurate and powerful, while others may be riddled with errors or based on faulty science. When an opaque algorithm recommends an insulin dose to a diabetic patient, how do we know that dose is correct? Patients, providers, and insurers face substantial difficulties in identifying high-quality algorithms; they …
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
Articles
Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …
The Oversimplification Of Deregulation: A Case Study On Clinical Decision Support Software, Deeva V. Shah
The Oversimplification Of Deregulation: A Case Study On Clinical Decision Support Software, Deeva V. Shah
Michigan Telecommunications & Technology Law Review
Until the December 2016 passage of the Cures Act, the FDA had regulatory power over clinical decision support (CDS) software; however, the Act removed a large group of CDS software from the FDA’s statutory authority. Congressional intent was to increase innovation by removing regulatory blockades—such as device testing and certification—from the FDA’s purview. This note argues that the enactment of this specific provision of the Act will instead stymie innovation and overlook the unfortunate safety consequences inherent in its deregulation. CDS software is a burgeoning field ripe for innovation; however, rapid innovation can often lead to a slew of mistakes—mistakes …
Shattered Mirrors: Our Search For Identity And Community In The Aids Era, William J. Aseltyne
Shattered Mirrors: Our Search For Identity And Community In The Aids Era, William J. Aseltyne
Michigan Law Review
A Review of Shattered Mirrors: Our Search for Identity and Community in the AIDS Era by Monroe E. Price