Point-counterpoint: What is the best strategy for developing generative AI for hospital medicine?

Journal: Journal of hospital medicine
Published Date:

Abstract

Generative Artificial Intelligence (Gen AI) shows significant promise as a technology that could improve healthcare delivery, but its implementation will be influenced by the spheres in which it is studied and the limited resources of hospitals. The Point authors argue that we should focus on is the cognitive abilities of GenAI or we risk being left out of a technological leap that will change the way doctors practice. The Counterpoint argues that we should focus on using GenAI to ease system burdens and address workflow issues, focusing our efforts on fixing the problems that would improve doctors' quality of life and increase time spent with patients.

Authors

  • Hannah Kerman
    Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • Andre Kumar
    Division of Hospital Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
  • Byron Crowe
    Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • William Collins
    Division of Hospital Medicine, Stanford University School of Medicine, Palo Alto, California, USA.

Keywords

No keywords available for this article.