Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 5 of 5
Full-Text Articles in Law
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Articles
Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …
Limiting State Flexibility In Drug Pricing, Nicholas Bagley, Rachel E. Sachs
Limiting State Flexibility In Drug Pricing, Nicholas Bagley, Rachel E. Sachs
Articles
Throughout the United States, escalating drug prices are putting immense pressure on state budgets. Several states are looking for ways to push back. Last year, Massachusetts asked the Trump administration for a waiver that would, among other things, allow its Medicaid program to decline to cover costly drugs for which there is limited or inadequate evidence of clinical efficacy. By credibly threatening to exclude such drugs from coverage, Massachusetts hoped to extract price concessions and constrain the fastest-growing part of its Medicaid budget.
Drug Approval In A Learning Health System, W. Nicholson Price
Drug Approval In A Learning Health System, W. Nicholson Price
Articles
The current system of FDA approval seems to make few happy. Some argue FDA approves drugs too slowly; others too quickly. Many agree that FDA—and the health system generally—should gather information after drugs are approved to learn how well they work and how safe they are. This is hard to do. FDA has its own surveillance systems, but those systems face substantial limitations in practical use. Drug companies can also conduct their own studies, but have little incentive to do so, and often fail to fulfil study commitments made to FDA. Proposals to improve this dynamic often suggest gathering more …
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 …
Constitutional Flaw?, Carl E. Schneider
Constitutional Flaw?, Carl E. Schneider
Articles
Do terminally ill patients have a constitutional right "to decide, without FDA interference, whether to assume the risks of using potentially life-saving investigational drugs that the FDA has yet to approve for commercial marketing, but that the FDA has determined, after Phase I clinical human trials, are safe enough for further testing"? In Abigail Alliance for Better Access to Developmental Drugs v. McClellan, the United States District Court for the District of Columbia said "no." In Abigail Alliance for Better Access to Developmental Drugs v. von Eschenbach, a panel (three judges) of the United States Court of Appeals …