Gerald M. Oppenheimer, PhD, MPH and Ronald Bayer, PhD
The alarm generated by the AIDS epidemic left civil liberties proponents fearful that traditional public health responses might be imposed on newly susceptible or infected populations.
Society values both the appropriate use of new technological and management innovations and the maintenance of a strong personal and therapeutic relationship between patients and physicians. The medical-home model may be able to accomplish both.
Emily L. Evans, PhD, MPH and Danielle Whicher, PhD, MHS
Clinical decision support systems leverage data generated in the course of standard clinical care to improve clinical practice. They need to ensure privacy and quality of patients’ data, but must also allow queries of electronic health records.
AMA J Ethics. 2018;20(9):E857-863. doi:
10.1001/amajethics.2018.857.
Social and behavioral data contained in electronic health records are essential for studying health disparities. Can researchers avoid bias when collecting, analyzing, and using such data?
AMA J Ethics. 2018;20(9):E873-880. doi:
10.1001/amajethics.2018.873.
After years of funding disease-specific treatment, donation trends have shifted to support broader health systems infrastructure development. A remaining challenge is how to sustain antiretroviral therapy (ART) for patients in resource-poor regions.
AMA J Ethics. 2016;18(7):681-690. doi:
10.1001/journalofethics.2016.18.7.ecas3-1607.
An emerging medical ethics issue is whether to delay posting pathology reports to electronic health records (EHR) to allow clinicians time to follow up.
AMA J Ethics. 2016;18(8):826-832. doi:
10.1001/journalofethics.2016.18.8.pfor1-1608.
Lisa M. Meeks, PhD and Christopher Moreland, MD, MPH
Obstacles for applicants with disabilities illuminate admission practices that could help craft a clinical workforce that is appropriately diverse and prepared to give just, patient-centered care.
AMA J Ethics. 2021;23(12):E987-994. doi:
10.1001/amajethics.2021.987.
Dr John Banja joins us to discuss the promises and perils of artificial intelligence in health care applications, including potential “megarisks” posed by AI tools themselves.