Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of Stay

Gaetan Kamdje Wabo, Piotr Pawel Sokolowski, Mahboubeh Jannesari Ladani, Michael Hagmann, Thomas Ganslandt, Fabian Siegel

Open source

DOI
10.2196/97661
Published
2026-09-11
Container
JMIR Medical Informatics
Publisher
JMIR Publications Inc.
Open access
unknown

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BibTeX

@article{allodium:10.2196/97661,
  title = {Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of Stay},
  author = {Gaetan Kamdje Wabo and Piotr Pawel Sokolowski and Mahboubeh Jannesari Ladani and Michael Hagmann and Thomas Ganslandt and Fabian Siegel},
  year = {2026},
  journal = {JMIR Medical Informatics},
  doi = {10.2196/97661},
  url = {https://doi.org/10.2196/97661}
}

RIS

TY  - JOUR
TI  - Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of Stay
AU  - Gaetan Kamdje Wabo
AU  - Piotr Pawel Sokolowski
AU  - Mahboubeh Jannesari Ladani
AU  - Michael Hagmann
AU  - Thomas Ganslandt
AU  - Fabian Siegel
PY  - 2026
JO  - JMIR Medical Informatics
DO  - 10.2196/97661
UR  - https://doi.org/10.2196/97661
ER  - 

APA

Wabo, G. K., Sokolowski, P. P., Ladani, M. J., Hagmann, M., Ganslandt, T., & Siegel, F. (2026). Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of Stay. JMIR Medical Informatics. https://doi.org/10.2196/97661

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