Published on in Vol 22, No 11 (2020): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/19597, first published
.
![Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models](https://asset.jmir.pub/assets/47297c49232e1cca8cc2266fa8ac628c.png 480w,https://asset.jmir.pub/assets/47297c49232e1cca8cc2266fa8ac628c.png 960w,https://asset.jmir.pub/assets/47297c49232e1cca8cc2266fa8ac628c.png 1920w,https://asset.jmir.pub/assets/47297c49232e1cca8cc2266fa8ac628c.png 2500w)
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