In his latest column, Arturo Loaiza-Bonilla, MD, MSEd, explores the latest on large language models in medicine and the new era of medical training and practice.
Co-founder, Chief Medical Officer, Massive Bio; Systemwide Chief of Hematology and Oncology, St. Luke’s University Health Network, Bethlehem, Pennsylvania
Serve as a speaker or a member of a speakers bureau for: Amgen; Guardant; Eisai; Ipsen; Natera; Merck; Bristol Myers Squibb; AstraZeneca Every day, there is a new mention on social media about advancements in artificial intelligence , particularly for large language models , such as ChatGPT, Llama, Cohere, Claude, and Bard. It can be hard to keep up, but these LLMs are shaping changes in medical education and how we practice.
Reduced cognitive and administrative load and burnout: As demonstrated by the performance of LLMs in standardized exams, these models can efficiently handle tasks, such as patient documentation and data analysis, that traditionally require significant time from medical professionals. This capability could greatly reduce administrative burdens, a known factor in physician burnout.
As these models become integrated into our healthcare systems, our role as physicians is poised to evolve dramatically. As we navigate this shift, our approach must be guided by a commitment to improve patient care and the well-being of healthcare providers. In addition, we need to foster a culture of self-improvement to make sure that AI tools are implemented thoughtfully, with ongoing evaluation of their impact on patient outcomes and physician workflow.
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