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.
Jing Li, PhD, Robert Tyler Braun, PhD, Sophia Kakarala, and Holly G. Prigerson, PhD
For dying patients and their loved ones to make informed decisions, physicians must share adequate information about prognoses, prospective benefits and harms of specific interventions, and costs.
AMA J Ethics. 2022;24(11):E1040-1048. doi:
10.1001/amajethics.2022.1040.
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.
An emerging medical ethics issue is whether to delay posting pathology reports to electronic health records (EHR) to allow clinicians time to follow up.
AMA J Ethics. 2016;18(8):826-832. doi:
10.1001/journalofethics.2016.18.8.pfor1-1608.
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.