Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Law
Resource Guide For Addiction And Mental Health Care Consumers: Answering Questions About Insurance Coverage And Parity For Addiction And Mental Health Care Services, Lucy C. Hodder, Michele D. Merritt, Margaret H. Schmidt, Jacqueline Botchman, Caitlyn Ebert, Marguerite Corvini, Kate Crary, Bridget Drake
Resource Guide For Addiction And Mental Health Care Consumers: Answering Questions About Insurance Coverage And Parity For Addiction And Mental Health Care Services, Lucy C. Hodder, Michele D. Merritt, Margaret H. Schmidt, Jacqueline Botchman, Caitlyn Ebert, Marguerite Corvini, Kate Crary, Bridget Drake
Law Faculty Scholarship
Navigating the maze of health insurance coverage can be difficult. For individuals with addiction or mental illness, the process of getting treatment approved and paid for by health insurance can be overwhelming. As a result, many people give up when their health insurance company denies coverage for needed services. This Guide can help people learn how to access health insurance and use their coverage to pay for treatment. This Guide also provides a basic explanation of consumers’ rights under the federal Mental Health Parity and Addiction Equity Act.
Privacy And Accountability In Black-Box Medicine, Roger Allan Ford, W. Nicholson Price Ii
Privacy And Accountability In Black-Box Medicine, Roger Allan Ford, W. Nicholson Price Ii
Law Faculty Scholarship
Black-box medicine—the use of big data and sophisticated machine learning techniques for health-care applications—could be the future of personalized medicine. Black-box medicine promises to make it easier to diagnose rare diseases and conditions, identify the most promising treatments, and allocate scarce resources among different patients. But to succeed, it must overcome two separate, but related, problems: patient privacy and algorithmic accountability. Privacy is a problem because researchers need access to huge amounts of patient health information to generate useful medical predictions. And accountability is a problem because black-box algorithms must be verified by outsiders to ensure they are accurate and …