Connect with Sharona
Hoffman's research focuses on health law and civil rights. Hoffman's scholarship is wide-ranging, but its overarching themes include legal and policy implications of evolving technologies and protecting vulnerable populations in the medical and employment settings. Hoffman's recent articles have addressed big data, specialty drugs, physician burnout, and discrimination associated with medical artificial intelligence. Hoffman is the co-director of Case Western's Law-Medicine Center and serves on University Hospital's ethics committee. Hoffman is a member of the Journal of Elder Policy advisory board and frequently appears in the media.
In the News
Helps readers gain an in-depth understanding of electronic health record (EHR) systems, medical big data, and the regulations that govern them. Analyzes both the shortcomings and benefits of EHR systems, exploring the law's response to the creation of these systems, highlighting gaps in the current legal framework, and developing detailed recommendations for regulatory, policy, and technological improvements.
Examines physician burnout, which is an acute concern in the medical community, with almost half of doctors reporting that they suffer from it, and it is a public health threat. Argues that the problem deserves and requires legal attention because burnout is often related to onerous health care regulations and because the government traditionally oversees and protects the health and well-being of the American workforce.
Analyzes the concept of algorithmic discrimination in medicine and argues that such discrimination can violate civil rights laws such as Title VI and Section 1557 of the Affordable Care Act . Urges that algorithmic fairness constitute a key element in designing, implementing, and validating AI and that both legal and technical tools be deployed to promote fairness., Forthcoming.
Offers a concise, comprehensive resource for middle-aged readers who are facing the prospects of their own aging and of caring for elderly relatives―an often overwhelming task for which little in life prepares us.
Compares the robust academic and policy debates and legal interventions that followed the emergence of genetic testing to the relatively anemic reaction to predictions produced by artificial intelligence. Argues that like genetic testing, predictive health analytics raise significant concerns about psychological harm, privacy breaches, discrimination, and the meaning and accuracy of predictions.
Discusses how specialty drugs, often dispensed by specialty pharmacies, are among the most expensive drugs on the market. Analyzes specialty drugs from a legal and policy perspective and formulates recommendations for regulatory interventions that are necessary to safeguard the welfare of specialty drug consumers.