Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study.
- DOI
- 10.2196/77983
- Published
- 2026 May 7
- Container
- JMIR formative research
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.2196/77983,
title = {Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study.},
author = {Reimer LM and Nissen L and Starnecker F and Stepanova O and Dufour F and Ney R and Al Najem S and Schunkert H and Jonas SM},
year = {2026},
journal = {JMIR formative research},
doi = {10.2196/77983},
url = {https://doi.org/10.2196/77983}
}RIS
TY - JOUR TI - Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study. AU - Reimer LM AU - Nissen L AU - Starnecker F AU - Stepanova O AU - Dufour F AU - Ney R AU - Al Najem S AU - Schunkert H AU - Jonas SM PY - 2026 JO - JMIR formative research DO - 10.2196/77983 UR - https://doi.org/10.2196/77983 ER -
APA
LM, R., L, N., F, S., O, S., F, D., R, N., S, A. N., H, S., & SM, J. (2026). Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study.. JMIR formative research. https://doi.org/10.2196/77983
Source records
- pubmed · retrieved 2026-11-10T05:59:57.403Z