MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
- DOI
- 10.1609/aaai.v38i20.30205
- Published
- 2024-03-24
- Container
- Proceedings of the AAAI Conference on Artificial Intelligence
- Publisher
- Association for the Advancement of Artificial Intelligence (AAAI)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1609/aaai.v38i20.30205,
title = {MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records},
author = {Scott L. Fleming and Alejandro Lozano and William J. Haberkorn and Jenelle A. Jindal and Eduardo Reis and Rahul Thapa and Louis Blankemeier and Julian Z. Genkins and Ethan Steinberg and Ashwin Nayak and Birju Patel and Chia-Chun Chiang and Alison Callahan and Zepeng Huo and Sergios Gatidis and Scott Adams and Oluseyi Fayanju and Shreya J. Shah and Thomas Savage and Ethan Goh and Akshay S. Chaudhari and Nima Aghaeepour and Christopher Sharp and Michael A. Pfeffer and Percy Liang and Jonathan H. Chen and Keith E. Morse and Emma P. Brunskill and Jason A. Fries and Nigam H. Shah},
year = {2024},
journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
doi = {10.1609/aaai.v38i20.30205},
url = {https://doi.org/10.1609/aaai.v38i20.30205}
}RIS
TY - JOUR TI - MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records AU - Scott L. Fleming AU - Alejandro Lozano AU - William J. Haberkorn AU - Jenelle A. Jindal AU - Eduardo Reis AU - Rahul Thapa AU - Louis Blankemeier AU - Julian Z. Genkins AU - Ethan Steinberg AU - Ashwin Nayak AU - Birju Patel AU - Chia-Chun Chiang AU - Alison Callahan AU - Zepeng Huo AU - Sergios Gatidis AU - Scott Adams AU - Oluseyi Fayanju AU - Shreya J. Shah AU - Thomas Savage AU - Ethan Goh AU - Akshay S. Chaudhari AU - Nima Aghaeepour AU - Christopher Sharp AU - Michael A. Pfeffer AU - Percy Liang AU - Jonathan H. Chen AU - Keith E. Morse AU - Emma P. Brunskill AU - Jason A. Fries AU - Nigam H. Shah PY - 2024 JO - Proceedings of the AAAI Conference on Artificial Intelligence DO - 10.1609/aaai.v38i20.30205 UR - https://doi.org/10.1609/aaai.v38i20.30205 ER -
APA
Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., Patel, B., Chiang, C., Callahan, A., Huo, Z., Gatidis, S., Adams, S., Fayanju, O., Shah, S. J., Savage, T., Goh, E., Chaudhari, A. S., Aghaeepour, N., Sharp, C., Pfeffer, M. A., Liang, P., Chen, J. H., Morse, K. E., Brunskill, E. P., Fries, J. A., & Shah, N. H. (2024). MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. Proceedings of the AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v38i20.30205
Source records
- crossref · retrieved 2026-09-25T04:18:01.531Z