Computable phenotypes for multimorbidity measurement: development and implementation of a new electronic health record-based multimorbidity-weighted index for harmonized Observational Medical Outcomes Partnership data
- DOI
- 10.1093/jamia/ocag161
- Published
- 2026-09-24
- Container
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/jamia/ocag161,
title = {Computable phenotypes for multimorbidity measurement: development and implementation of a new electronic health record-based multimorbidity-weighted index for harmonized Observational Medical Outcomes Partnership data},
author = {Melissa Y Wei and Ashley J Kang and Alexandra M Klomhaus and Lucia Y Chen and Douglas S Bell and David Elashoff and Chi-Hong Tseng},
year = {2026},
journal = {Journal of the American Medical Informatics Association},
doi = {10.1093/jamia/ocag161},
url = {https://doi.org/10.1093/jamia/ocag161}
}RIS
TY - JOUR TI - Computable phenotypes for multimorbidity measurement: development and implementation of a new electronic health record-based multimorbidity-weighted index for harmonized Observational Medical Outcomes Partnership data AU - Melissa Y Wei AU - Ashley J Kang AU - Alexandra M Klomhaus AU - Lucia Y Chen AU - Douglas S Bell AU - David Elashoff AU - Chi-Hong Tseng PY - 2026 JO - Journal of the American Medical Informatics Association DO - 10.1093/jamia/ocag161 UR - https://doi.org/10.1093/jamia/ocag161 ER -
APA
Wei, M. Y., Kang, A. J., Klomhaus, A. M., Chen, L. Y., Bell, D. S., Elashoff, D., & Tseng, C. (2026). Computable phenotypes for multimorbidity measurement: development and implementation of a new electronic health record-based multimorbidity-weighted index for harmonized Observational Medical Outcomes Partnership data. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocag161
Source records
- crossref · retrieved 2026-09-25T12:05:30.103Z