Prompting compassion: Mitigating stigmatizing language related to mental illness with generative AI
Using stigmatizing language to describe patients with mental illness can cause harm. Stigmas are shared perceptions that certain individuals are less deserving of compassion and care, which can impact the way patients are treated by healthcare providers. Stigmas can be reinforced through health record documentation, when patients are discredited, blamed, or assigned negative characteristics. The…
Read MoreDeveloping Ethical AI for compassionate delivery of precision medicine
Precision medicine promises to transform health care. However, low accrual to precision medicine trials and barriers to patient decision-making threaten innovation. Machine learning for matching patients’ genomic information with preclinical datasets and trial eligibility criteria can increase trial accessibility, while conversational AI can provide empathetic, accessible, and tailored information to support patient autonomy for informed…
Read More