Ethically Allocating COVID-19 Drugs Via Pre-approval Access and Emergency Use Authorization
Abstract Allocating access to unapproved COVID-19 drugs available via Pre-Approval Access pathways or Emergency Use Auth...
Professional Judgment and Justice: Equal Respect for the Professional Judgment of Critical-Care Physicians
Abstract This issue’s target article by Kirby (2016) raises an incredibly important and challenging set of issues:...
Legal and Ethical Considerations in Allowing Parental Exemptions From Newborn Critical Congenital Heart Disease (CCHD) Screening
Abstract Critical congenital heart disease (CCHD) screening is rapidly becoming the standard of care in the United State...
Participant Reactions to a Literacy-Focused, Web-Based Informed Consent Approach for a Genomic Implementation Study
Abstract ndaries. There is a move toward self-directed, web-based research enrollment, but more evidence is needed about...
Human Brain Surrogates Research: The Onrushing Ethical Dilemma
Abstract Human brain research is moving into a dilemma. The best way to understand how the human brain works is to study...
Self-Defeating Codes of Medical Ethics and How to Fix Them: Failures in COVID-19 Response and Beyond
Abstract Statements of the core ethical and professional responsibilities of medical professionals are incomplete in way...
Don’t Blame Hippocrates for Low Enrollment in Clinical Trials
Abstract Alex John London (2021) is frustrated by the commonly encountered situation of doctors thinking that they know ...
The Social Context of Religion in the Jurisdictions of Bioethics
Abstract In this issue, McCarthy, Homan and Rozier (henceforth MHR) (McCarthy et al. 2020) make the case for re-stabli...
There’s No Harm in Talking: Re-Establishing the Relationship Between Theological and Secular Bioethics
Abstract Theological and secular voices in bioethics have drifted into separate silos. Such a separation results in part...
Identifying Ethical Considerations for Machine Learning Healthcare Applications
Abstract Along with potential benefits to healthcare delivery, machine learning healthcare applications (ML-HCAs) raise ...
Needs to Prepare for “Post-COVID-19 Syndrome”
Abstract While attention has focused in many states and countries on the initial acute phase of the COVID-19 pandemic an...
Planning for the Known Unknown: Machine Learning for Human Healthcare Systems
Abstract Clinical medicine is an inexact science. In situations of uncertainty, we often ask an experienced colleague fo...