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.
Patients can now easily view their health records, so clinicians must consider a reader’s interpretation of how they convey sensitive personal health information. What might this mean for ethics consultants?
AMA J Ethics. 2020;22(9):E784-791. doi:
10.1001/amajethics.2020.784.
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.
A discussion of how to handle the documentation of mental health care in electronic medical records so that patient wishes for confidentiality are balanced with the need for interdisciplinary communication and care coordination.
A case that illustrates how Western medicine's body or mind approach to diagnosis and treatment can differ from that of many patients from non-Western cultures.