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.
Workplace wellness programs contribute to the wellness movement by enlisting nontraditional health partners and influencing social determinants of health.
AMA J Ethics. 2016; 18(4):393-398. doi:
10.1001/journalofethics.2016.18.4.nlit1-1604.
Tabitha E. H. Moses, MS joins Ethics Talk to discuss her article, coauthored with Dr Arash Javanbakht: “How Should Clinicians Determine a Traumatized Patient’s Readiness to Return to Work?”
Clinicians with obligations to patients and to organizations often assess patients in law enforcement for both therapeutic and nontherapeutic purposes.
AMA J Ethics. 2022; 24(2):E111-119. doi:
10.1001/amajethics.2022.111.
Clinical needs of patients with disabilities are seen with the “medical gaze,” a depersonalized lens of evidence-based medicine and of presumed objectivity.
AMA J Ethics. 2023; 25(1):E85-87. doi:
10.1001/amajethics.2023.85.
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.