The coronavirus crisis is causing considerable disruption and anguish. However, the COVID-19 pandemic and consequent explosion of telehealth services also provide an unparalleled opportunity to consider ethical, legal, and social issues beyond immediate needs. Ethicists, informaticians, and others can learn from experience, and evaluate information technology practices and evidence on which to base policy and standards, identify significant values and issues, and revise ethical guidelines. This paper builds on professional organizations’ guidelines and ELSI scholarship to develop emerging concerns illuminated by (...) current experience. Four ethical themes characterized previous literature: quality of care and the doctor–patient relationship, access, consent, and privacy. More attention is needed to these and to expanding the scope of ethical analysis to include health information technologies. An applied ethics approach to ELSI would addresses context-specific issues and the relationships between people and technologies, and facilitate effective and ethical institutionalization of telehealth and other health information technologies. (shrink)

Volume 20, Issue 6, June 2020, Page 65-67.

From predicting medical conditions to administering health behavior interventions, artificial intelligence technologies are being developed to enhance patient care and outcomes. However, as Mélanie Terrasse and coauthors caution in an article in this issue of the Hastings Center Report, an overreliance on virtual technologies may depersonalize medical interactions and erode therapeutic relationships. The increasing expectation that patients will be actively engaged in their own care, regardless of the patients’ desire, technological literacy, and economic means, may also violate patients’ autonomy and (...) exacerbate access. Moreover, since AI design is both a technical and social process, algorithms may mirror human biases, calling into question the vision of AI technologies surpassing human judgment and avoiding prejudices in decision‐making. The best answer to these problems is to develop AI health technologies as part of a culture of health care quality improvement, responding to existing needs while being proactive about potential technical and ethical problems that can arise from the technologies’ design and implementation. (shrink)