%0 Journal Article
%@ 2369-3762
%I JMIR Publications
%V 9
%N 
%P e51199
%T Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care
%A Koranteng,Erica
%A Rao,Arya
%A Flores,Efren
%A Lev,Michael
%A Landman,Adam
%A Dreyer,Keith
%A Succi,Marc
%+ Massachusetts General Hospital, 55 Fruit St, Boston, 02114, United States, 1 617 935 9144, msucci@mgh.harvard.edu
%K ChatGPT
%K AI
%K artificial intelligence
%K large language models
%K LLMs
%K ethics
%K empathy
%K equity
%K bias
%K language model
%K health care application
%K patient care
%K care
%K development
%K framework
%K model
%K ethical implication
%D 2023
%7 28.12.2023
%9 Viewpoint
%J JMIR Med Educ
%G English
%X The growing presence of large language models (LLMs) in health care applications holds significant promise for innovative advancements in patient care. However, concerns about ethical implications and potential biases have been raised by various stakeholders. Here, we evaluate the ethics of LLMs in medicine along 2 key axes: empathy and equity. We outline the importance of these factors in novel models of care and develop frameworks for addressing these alongside LLM deployment.
%M 38153778
%R 10.2196/51199
%U https://mededu.jmir.org/2023/1/e51199
%U https://doi.org/10.2196/51199
%U http://www.ncbi.nlm.nih.gov/pubmed/38153778