Law Commons^™

Periods For Profit And The Rise Of Menstrual Surveillance, Michele E. Gilman

All Faculty Scholarship

Menstruation is being monetized and surveilled, with the voluntary participation of millions of women. Thousands of downloadable apps promise to help women monitor their periods and manage their fertility. These apps are part of the broader, multi-billion dollar, Femtech industry, which sells technology to help women understand and improve their health. Femtech is marketed with the language of female autonomy and feminist empowerment. Despite this rhetoric, Femtech is part of a broader business strategy of data extraction, in which companies are extracting people’s personal data for profit, typically without their knowledge or meaningful consent. Femtech can oppress menstruators in several …

Examining Sociodemographic Data Reporting Requirements In State Disease Surveillance Systems, Samantha Bent Weber, Amanda Moreland, Rachel Hulkower, Tara Ramanathan Holiday

Saint Louis University Journal of Health Law & Policy

Law plays an important role in the collection of data related to disease and injury in a population. A robust system of laws sets out requirements for the collection, analysis, and dissemination of disease reporting data from local, state, territorial, and federal public health institutions. Occurrence of disease, including outbreaks of novel infectious agents like coronaviruses, influenza viruses, and others that have arisen in recent years, often require epidemiologists and others to understand not only the etiology and specific context of diseases and conditions, but also the trajectory of their spread among and across communities. Capturing sociodemographic data is critical …

Ai's Legitimate Interest: Towards A Public Benefit Privacy Model, Charlotte A. Tschider

Faculty Publications & Other Works

Health data uses are on the rise. Increasingly more often, data are used for a variety of operational, diagnostic, and technical uses, as in the Internet of Health Things. Never has quality data been more necessary: large data stores now power the most advanced artificial intelligence applications, applications that may enable early diagnosis of chronic diseases and enable personalized medical treatment. These data, both personally identifiable and de-identified, have the potential to dramatically improve the quality, effectiveness, and safety of artificial intelligence.

Existing privacy laws do not 1) effectively protect the privacy interests of individuals and 2) provide the flexibility …

Vaccine Clinical Trials And Data Infrastructure, Ana Santos Rutschman

All Faculty Scholarship

We find ourselves at a momentous turn in the history of vaccines. The COVID-19 pandemic triggered a quasi-global vaccine race that not only compressed vaccine research and development (R&D) timelines, but also paved the way for the administration of a new type of vaccine technology – mRNA vaccines, which work in substantially different ways from the vaccines in use before the pandemic.

While the process of bringing emerging COVID-19 vaccines to market has taken place in an unusually short timeframe, it was largely predicated on the same scientific and regulatory processes that govern the development, approval and deployment of new …

The Covid-19 Pandemic And The Technology Trust Gap, Johanna Gunawan, David Choffnes, Woodrow Hartzog, Christo Wilson

Faculty Scholarship

Industry and government tried to use information technologies to respond to the COVID-19 pandemic, but using the internet as a tool for disease surveillance, public health messaging, and testing logistics turned out to be a disappointment. Why weren’t these efforts more effective? This Essay argues that industry and government efforts to leverage technology were doomed to fail because tech platforms have failed over the past few decades to make their tools trustworthy, and lawmakers have done little to hold these companies accountable. People cannot trust the interfaces they interact with, the devices they use, and the systems that power tech …