Abstract
[...]session. [...]ChatGPT is trained using data on the Internet, which could potentially have inherent biases (e.g. racial, gender and/or cultural biases).7 At this early stage, providers must remain vigilant to ensure that the use of AI does not compromise the quality of care, lead to an overreliance on technology or perpetuate biases present in training data. [...]the integration of ChatGPT with effective prompting techniques holds great potential for streamlining healthcare documentation, yet it must be approached carefully to manage ethical and practical challenges, and to prevent harm.
Cite
CITATION STYLE
Nguyen, J., & Pepping, C. A. (2023). The application of ChatGPT in healthcare progress notes: A commentary from a clinical and research perspective. Clinical and Translational Medicine, 13(7). https://doi.org/10.1002/ctm2.1324
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