Large language models can translate the archaic language of pharmacy prescriptions into plain English, but reducing medication errors for patients will require interventions that go further.
References
Pais, C. et al. Nat. Med. https://doi.org/10.1038/s41591-024-02933-8 (2024).
Huang, Y.-M. et al. Health Soc. Care Community 30, 753–761 (2022).
Yin, H. S. et al. Pediatrics 148, e2021054666 (2021).
Manchanayake, M. G. C. A., Bandara, G. R. W. S. K. & Samaranayake, N. R. BMC Hlth Serv. Res. 18, 425 (2018).
Wolf, M. S. et al. Medical Care 47, 370–373 (2009).
Davis, T. et al. Ann. Intern. Med. 145, 887–894 (2006).
Kidd, C. & Birhane, A. Science 380, 1222–1223 (2023).
Lyell, D. et al. BMC Med. Inform. Decis. Mak. 17, 28 (2017).
Feiner, J. R., Severinghaus, J. W. & Bickler, P. E. Anesth. Analg. 105, S18–S23 (2007).
Cirillo, D. et al. npj Digit. Med. 3, 81 (2020).
Moore, J. E. & Guichot, Y. World Economic Forum https://go.nature.com/3Qf2L0w (5 January 2024).
Murugan, M. et al. J. Am. Med. Inform. Assoc. https://doi.org/10.1093/jamia/ocae039 (2024).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare they have no conflicts of interest.
Rights and permissions
About this article
Cite this article
Westbrook, J.I., Wabe, N. & Raban, M.Z. Using AI to improve medication safety. Nat Med (2024). https://doi.org/10.1038/s41591-024-02980-1
Published:
DOI: https://doi.org/10.1038/s41591-024-02980-1
- Springer Nature America, Inc.