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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: May 24, 2024
Date Accepted: Sep 7, 2024

The final, peer-reviewed published version of this preprint can be found here:

EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative

Varghese J, Schuster A, Poschkamp B, Yildirim K, Oehm J, Berens P, Müller S, Gervelmeyer J, Koch L, Hoffmann K, Sedlmayr M, Kakkassery V, Kohlbacher O, Merle D, Bartz-Schmidt KU, Ueffing M, Stahl D, Leddig T, Bialke M, Hampf C, Hoffmann W, Berthe S, Waltemath D, Walter P, Lipprandt M, Röhrig R, Storp JJ, Zimmermann JA, Holtrup L, Brix T, Stahl A, Eter N

EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative

JMIR Med Inform 2024;12:e60851

DOI: 10.2196/60851

PMID: 39637381

PMCID: 11637454

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

EyeMatics: An Ophthalmology Use Case within the German Medical Informatics Initiative

  • Julian Varghese; 
  • Alexander Schuster; 
  • Broder Poschkamp; 
  • Kemal Yildirim; 
  • Johannes Oehm; 
  • Philipp Berens; 
  • Sarah Müller; 
  • Julius Gervelmeyer; 
  • Lisa Koch; 
  • Katja Hoffmann; 
  • Martin Sedlmayr; 
  • Vinodh Kakkassery; 
  • Oliver Kohlbacher; 
  • David Merle; 
  • Karl Ulrich Bartz-Schmidt; 
  • Marius Ueffing; 
  • Dana Stahl; 
  • Torsten Leddig; 
  • Martin Bialke; 
  • Christopher Hampf; 
  • Wolfgang Hoffmann; 
  • Sebastian Berthe; 
  • Dagmar Waltemath; 
  • Peter Walter; 
  • Myriam Lipprandt; 
  • Rainer Röhrig; 
  • Jens Julian Storp; 
  • Julian Alexander Zimmermann; 
  • Lea Holtrup; 
  • Tobias Brix; 
  • Andreas Stahl; 
  • Nicole Eter

ABSTRACT

The EyeMatics project, embedded as a clinical use case in Germany's Medical Informatics Initiative, is a large digital health initiative in ophthalmology. The objective is to improve understanding of treatment effects regarding intravitreal injections, the most frequent procedure to treat eye diseases. To achieve this, valuable patient data will be meaningfully integrated and visualized from different IT-systems and different hospital sites. EyeMatics emphasizes a governance framework that actively involves patient representatives, strictly implements interoperability standards and employs Artificial Intelligence methods to extract biomarkers from both tabular clinical and raw retinal scans. In this perspective paper, we delineate the strategies for user-centered implementation and healthcare-based evaluation in a multi-site observational technology study.


 Citation

Please cite as:

Varghese J, Schuster A, Poschkamp B, Yildirim K, Oehm J, Berens P, Müller S, Gervelmeyer J, Koch L, Hoffmann K, Sedlmayr M, Kakkassery V, Kohlbacher O, Merle D, Bartz-Schmidt KU, Ueffing M, Stahl D, Leddig T, Bialke M, Hampf C, Hoffmann W, Berthe S, Waltemath D, Walter P, Lipprandt M, Röhrig R, Storp JJ, Zimmermann JA, Holtrup L, Brix T, Stahl A, Eter N

EyeMatics: An Ophthalmology Use Case Within the German Medical Informatics Initiative

JMIR Med Inform 2024;12:e60851

DOI: 10.2196/60851

PMID: 39637381

PMCID: 11637454

Per the author's request the PDF is not available.