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Statistical Methods to Harmonize Electronic Health Record Data Across Healthcare Systems: Case Study and Lessons Learned | Synapse
March 4, 2026
Open Access
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Statistical Methods to Harmonize Electronic Health Record Data Across Healthcare Systems: Case Study and Lessons Learned
XS
Xu Shi
University of Michigan
YZ
Yuqi Zhai
University of Michigan
XY
Xianshi Yu
University of Wisconsin–Madison
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Key Points
The aim is to explore effective statistical methods for harmonizing electronic health record data across different healthcare systems.
Analyzed existing electronic health record datasets from multiple healthcare systems.
Applied statistical techniques to align data formats and structures.
Evaluated the effectiveness of different harmonization methods against quality metrics.
Achieved significant improvements in data compatibility between systems.
Enhanced data quality measures, including accuracy and completeness.
Demonstrated the potential for broader integration in healthcare research.
Abstract
Supplementary data are available at Bioinformatics online.
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Shi et al. (Sat,) studied this question.
synapsesocial.com/papers/69a7ccd5d48f933b5eed8a39
https://doi.org/https://doi.org/10.1093/bioinformatics/btag107