Stanford Pilots SAGE AI Decision-Support System for Primary Care Specialty Consultation — Human-Computer Interaction Trial Opens

References

1. 1.Stanford University. (2025). Physician usability and output quality evaluation of a retrieval-augmented language model system for specialty medical consultation: A human-computer interaction study. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07706920
2. 2.Barnett, M. L., Mehrotra, A., & Landon, B. E. (2019). Visits to primary care physicians and to specialists by adults with chronic conditions. NEJM Catalyst. https://doi.org/10.1056/CAT.19.0027
3. 3.Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W., Rocktäschel, T., & Kiela, D. (2020). Retrieval-augmented generation for knowledge-intensive NLP tasks. Advances in Neural Information Processing Systems. https://doi.org/10.48550/arXiv.2005.11401
4. 4.Nielsen, J. (1994). Usability engineering. Academic Press.
5. 5.Liddy, C., Moroz, I., Mihan, A., Nawar, N., & Keely, E. (2019). A systematic review of consumed health care resources and physician time in the eConsult process. npj Primary Care Respiratory Medicine. https://doi.org/10.1038/s41533-019-0134-8
6. 6.Keely, E., Liddy, C., & Afkham, A. (2013). Utilization, benefits, and impact of an e-consultation service across diverse specialties and primary care providers. Telemedicine and e-Health, 19(10), 733–738. https://doi.org/10.1089/tmj.2013.0007