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.
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.
Amy Scharf(理学硕士), Louis Voigt(医学博士), Santosha Vardhana(医学博士、哲学博士), Konstantina Matsoukas(图书情报硕士), Lisa M. Wall(哲学博士、注册护士、临床护理专家、高级肿瘤临床护理专家、已获认证的医疗保健伦理顾问), Maria Arevalo(注册护士、肿瘤专科护士), and Lisa C. Diamond(医学博士、公共卫生硕士)
AMA J Ethics. 2021; E97-108. doi:
10.1001/amajethics.2021.97.
Amy Schart, MS, Louis Voigt, MD, Santosha Vardhana, MD, PhD, Konstantina Matsoukas, MLIS, Lisa M. Wall, PhD, RN, CNS, AOCNS, HEC-C, María Arévalo, RN, OCN, and Lisa C. Diamond, MD, MPH
AMA J Ethics. 2021; E97-108. doi:
10.1001/amajethics.2021.97.
Judgmentalism applied to patients from poor and marginalized communities exacerbates health inequity and illuminates the importance of contextualizing a patient’s care.
AMA J Ethics. 2021; 23(2):E91-96. doi:
10.1001/amajethics.2021.91.