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Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study.

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Title: Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study.
Authors: Reimer LM; Institute for Digital Medicine, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.; School for Computation, Information and Technology, Technical University of Munich, Garching bei München, Germany., Nissen L; Institute for Digital Medicine, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany., Starnecker F; Department of Cardiology, German Heart Centre Munich, University Hospital of the Technical University of Munich, Munich, Germany.; Partner Site Munich Heart Alliance, German Centre for Cardiovascular Research, Berlin, Germany., Stepanova O; ByteLaw Attorneys, Frankfurt am Main, Germany., Dufour F; Leibniz Supercomputing Centre, Garching bei München, Germany., Ney R; Deutsche Herzstiftung, Frankfurt am Main, Germany., Al Najem S; Deutsche Herzstiftung, Frankfurt am Main, Germany., Schunkert H; Department of Cardiology, German Heart Centre Munich, University Hospital of the Technical University of Munich, Munich, Germany.; Partner Site Munich Heart Alliance, German Centre for Cardiovascular Research, Berlin, Germany.; Deutsche Herzstiftung, Frankfurt am Main, Germany., Jonas SM; Institute for Digital Medicine, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.; School for Computation, Information and Technology, Technical University of Munich, Garching bei München, Germany.
Source: JMIR formative research [JMIR Form Res] 2026 May 07; Vol. 10, pp. e77983. Date of Electronic Publication: 2026 May 07.
Publication Type: Case Reports; Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2561-326X
DOI:10.2196/77983