Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review
- DOI
- 10.63116/ah.000000007
- Published
- 2026
- Container
- Advances in Health Information Science and Practice
- Publisher
- American Health Information Management Association
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.63116/ah.000000007,
title = {Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review},
author = {James M. Kariuki and Anisa Saleh and Chinedu Aniekwe and Mayer Antoine and Neranga Liyanaarachchige and Lisa A. Murie and Daniel H. Rosen and Ronald Cornet},
year = {2026},
journal = {Advances in Health Information Science and Practice},
doi = {10.63116/ah.000000007},
url = {https://doi.org/10.63116/ah.000000007}
}RIS
TY - JOUR TI - Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review AU - James M. Kariuki AU - Anisa Saleh AU - Chinedu Aniekwe AU - Mayer Antoine AU - Neranga Liyanaarachchige AU - Lisa A. Murie AU - Daniel H. Rosen AU - Ronald Cornet PY - 2026 JO - Advances in Health Information Science and Practice DO - 10.63116/ah.000000007 UR - https://doi.org/10.63116/ah.000000007 ER -
APA
Kariuki, J. M., Saleh, A., Aniekwe, C., Antoine, M., Liyanaarachchige, N., Murie, L. A., Rosen, D. H., & Cornet, R. (2026). Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review. Advances in Health Information Science and Practice. https://doi.org/10.63116/ah.000000007
Source records
- crossref · retrieved 2026-11-08T20:04:57.475Z