An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System
- DOI
- 10.1109/bhi67747.2025.11269482
- Published
- 2025-10-26
- Container
- 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/bhi67747.2025.11269482,
title = {An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System},
author = {Benoit L. Marteau and Andrew Hornback and Shaun Q. Tan and Christian Lowson and Jason Woloff and May D. Wang},
year = {2025},
journal = {2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)},
doi = {10.1109/bhi67747.2025.11269482},
url = {https://doi.org/10.1109/bhi67747.2025.11269482}
}RIS
TY - JOUR TI - An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System AU - Benoit L. Marteau AU - Andrew Hornback AU - Shaun Q. Tan AU - Christian Lowson AU - Jason Woloff AU - May D. Wang PY - 2025 JO - 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) DO - 10.1109/bhi67747.2025.11269482 UR - https://doi.org/10.1109/bhi67747.2025.11269482 ER -
APA
Marteau, B. L., Hornback, A., Tan, S. Q., Lowson, C., Woloff, J., & Wang, M. D. (2025). An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System. 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). https://doi.org/10.1109/bhi67747.2025.11269482
Source records
- crossref · retrieved 2026-09-26T01:43:24.953Z