Camillo Lamanna, MMathPhil, MBBS and Lauren Byrne, MBBS
Perhaps machine learning systems trained on patients’ electronic health records and social media footprints could be used as decision aids when patients lack capacity or face overwhelming decisions.
AMA J Ethics. 2018;20(9):E902-910. doi:
10.1001/amajethics.2018.902.
Natural language processing can be used not only to extract quantifiable facts from individual medical records but also to study variation in a data set.
AMA J Ethics. 2017;19(3):281-288. doi:
10.1001/journalofethics.2017.19.3.stas1-1703.
This month, AMA Journal of Ethics theme editor Marguerite Reid Schneider, a fourth-year medical student at University of Cincinnati College of Medicine, interviewed Srijan Sen, MD, PhD, about how mental health care and medical culture can be changed to benefit medical trainees.
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.
The greatest pressure to resuscitate the extremely low-birth-weight infant often results from successful marketing efforts that lead families to expect that their premature infants will be cute and healthy.
Physicians new to a case might object to an established care plan. Practice variation, clinical momentum, and how value is assigned by different parties to acute care and comfort measures can each contribute to conflict in these cases.
AMA J Ethics. 2018;20(8):E699-707. doi:
10.1001/amajethics.2018.699.
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.