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Articles 1 - 5 of 5
Full-Text Articles in Law
Medical-Legal Partnerships Reinvigorate Systems Lawyering Using An Upstream Approach, Kate L. Mitchell, Debra Chopp
Medical-Legal Partnerships Reinvigorate Systems Lawyering Using An Upstream Approach, Kate L. Mitchell, Debra Chopp
Articles
The upstream framework presented in public health and medicine considers health problems from a preventive perspective, seeking to understand and address the root causes of poor health. Medical-legal partnerships (MLPs) have demonstrated the value of this upstream framework in the practice of law and engage in upstream lawyering by utilizing systemic advocacy to address root causes of injustices and health inequities. This article explores upstreaming and its use by MLPs in reframing legal practice.
What Can State Medical Boards Do To Effectively Address Serious Ethical Violations?, Tristan Mcintosh, Elizabeth Pendo, Heidi A. Walsh, Kari A. Baldwin, Patricia King, Emily E. Anderson, Catherine V. Caldicott, Jeffrey D. Carter, Sandra H. Johnson, Katherine Matthews, William A. Norcross, Dana C. Shaffer, James M. Dubois
What Can State Medical Boards Do To Effectively Address Serious Ethical Violations?, Tristan Mcintosh, Elizabeth Pendo, Heidi A. Walsh, Kari A. Baldwin, Patricia King, Emily E. Anderson, Catherine V. Caldicott, Jeffrey D. Carter, Sandra H. Johnson, Katherine Matthews, William A. Norcross, Dana C. Shaffer, James M. Dubois
Articles
State Medical Boards (SMBs) can take severe disciplinary actions (e.g., license revocation or suspension) against physicians who commit egregious wrongdoing in order to protect the public. However, there is noteworthy variability in the extent to which SMBs impose severe disciplinary action. In this manuscript, we present and synthesize a subset of 11 recommendations based on findings from our team’s larger consensus-building project that identified a list of 56 policies and legal provisions SMBs can use to better protect patients from egregious wrongdoing by physicians.
Abortion Disorientation, Greer Donley, Caroline M. Kelly
Abortion Disorientation, Greer Donley, Caroline M. Kelly
Articles
The word “abortion” pervades public discourse in the wake of Dobbs v. Jackson Women’s Health Organization. But do we know what it means? Not only do law and medicine define it differently; state legislatures have codified wildly different definitions of abortion across jurisdictions. Our analysis exposes inherent ambiguities at the boundaries of the term, particularly as abortion intersects with other categories that we often think of as distinct: pregnancy loss, ectopic pregnancy, and other forms of medically necessary care. By juxtaposing statutory text next to real people’s experiences of being denied care in states with abortion bans, we reveal …
Are Embryos Or Fetuses Brain Dead? Implications For The Abortion Debate, Greer Donley
Are Embryos Or Fetuses Brain Dead? Implications For The Abortion Debate, Greer Donley
Articles
Most state abortion definitions exclude the removal of a dead fetus, attempting to distinguish miscarriage and abortion care. But what does “dead” mean at the earliest stages of potential life? There is a consensus at the end of life that death not only encompasses the cessation of cardiac activity, but also brain death. This symposium essay considers whether life can exist before brain life begins and how that might impact the abortion debate. The most rudimentary brain waves cannot be detected in an embryo before roughly the eighth week of pregnancy; the capacity for feeling and consciousness begin much later. …
Locating Liability For Medical Ai, W. Nicholson Price Ii, I. Glenn Cohen
Locating Liability For Medical Ai, W. Nicholson Price Ii, I. Glenn Cohen
Articles
When medical AI systems fail, who should be responsible, and how? We argue that various features of medical AI complicate the application of existing tort doctrines and render them ineffective at creating incentives for the safe and effective use of medical AI. In addition to complexity and opacity, the problem of contextual bias, where medical AI systems vary substantially in performance from place to place, hampers traditional doctrines. We suggest instead the application of enterprise liability to hospitals—making them broadly liable for negligent injuries occurring within the hospital system—with an important caveat: hospitals must have access to the information needed …