Nicole Martinez-Martin, JD, PhD, Laura B. Dunn, MD, and Laura Weiss Roberts, MD, MA
Calibrating a machine learning model with data from a local setting is key to predicting psychosis outcomes. Clinicians also need to understand an algorithm’s limitations and disclose clinically and ethically relevant information to patients.
AMA J Ethics. 2018;20(9):E804-811. doi:
10.1001/amajethics.2018.804.
Targeted dosing to treat pediatric inflammatory bowel disease is challenging because dosing guidelines are based on data gathered from adult subjects of clinical trials. Patients’ families and health care organizations also incur high costs and must try to balance potential benefits against risks of ongoing monitoring.
AMA J Ethics. 2018;20(9):E841-848. doi:
10.1001/amajethics.2018.841.
Cynthia E. Schairer, PhD, Caryn Kseniya Rubanovich, MS, and Cinnamon S. Bloss, PhD
Questions about data privacy need to be addressed when research institutions negotiate with companies developing mobile health applications. Commercial terms of use and data sharing notifications should be reviewed before use in human subject research settings.
AMA J Ethics. 2018;20(9):E864-872. doi:
10.1001/amajethics.2018.864.
Pathologists should work cooperatively with clinicians and provide guidance about appropriate testing to uphold the medical ethics principle of justice.
AMA J Ethics. 2016;18(8):793-799. doi:
10.1001/journalofethics.2016.18.8.ecas5-1608.
The allocation of scarce resources, such as HLA platelets, involves a conflict between the medical ethics principles of beneficence and social justice.
AMA J Ethics. 2016;18(8):764-770. doi:
10.1001/journalofethics.2016.18.8.ecas1-1608.