Quality of Life Trajectories With Integration Into Electronic Health Records for High-Resolution Patient Outcomes: Algorithm Development and Validation Study
High-resolution QoL trajectories with EHR integration are technically and clinically feasible. They offer a novel readout beyond survival analysis or PROM end point, enabling precise disease characterization and treatment comparison.
Authors
- Stephan Christoph Feder
- Fleur Fritz (ORCID: https://orcid.org/0000-0002-9005-6766)
- Thomas Pausch (ORCID: https://orcid.org/0000-0001-6145-3263)
- Max Blumenstock (ORCID: https://orcid.org/0000-0002-9816-0445)
- Dugas Martin
- Pavlina Lenga (ORCID: https://orcid.org/0000-0003-3842-0783)
- Matthias Ganzinger (ORCID: https://orcid.org/0000-0002-2716-5425)
- Kosima Kosmalla
- Lucy J. Kessler (ORCID: https://orcid.org/0000-0002-5322-9875)
- Martin Loos
- Niels Siegel
- Robin Fleige
- Tobias Dittrich
- Luis Wettach
- Sandro M Krieg
- Celine Fabienne Bergmann
- Hans-Christoph Friederich
- Sandra Sauer
- Susanne Dugas-Breit
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- National Center for Tumor Diseases (DE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-02-24
- DOI
- https://doi.org/10.2196/79834
- Primary Topic
- Cancer survivorship and care
- Type
- article
- Field-Weighted Citation Impact
- 0.00