Patient Trajectories with High-Frequency PROMs Integrated in…
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- DOI 10.3233/shti260509
- PMID https://pubmed.ncbi.nlm.nih.gov/42175180
- OpenAlex ID W7161947993
- Type Book-chapter
- Language EN
- Published 21 May 2026
- Volume 336
- Pages 1669–1673
- Source Studies in health technology and informa…
- Publisher IOS Press
- Countries 1
- Institutions 2
- Added 22 May 2026
- Updated 24 Oct 2026
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Patient Trajectories with High-Frequency PROMs Integrated into EHR Systems: A Comprehensive Outcome for Clinical Research and Care
Book-chapter 2026 EN Hybrid
This study assessed the technical and clinical feasibility of capturing detailed, high-frequency Patient-Reported Outcome Measure (PROM) trajectories by integrating short instruments directly into the Electronic Health Record (EHR) system. Current practice uses infrequent PROMs, failing to capture the dynamic nature of a patient's trajectory. We designed and implemented an electronic data capture…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
10 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Martin Dugas | Heidelberg University (DE) | |
| 2 | Robin Fleige | Heidelberg University (DE) | |
| 3 | Max Christian Blumenstock | Heidelberg University (DE) | |
| 4 | Paul Krczal | Heidelberg University (DE) | |
| 5 | Matthias Ganzinger | Heidelberg University (DE) | |
| 6 | Fleur Fritz | Heidelberg University (DE) | |
| 7 | Susanne Dugas‐Breit | Heidelberg University (DE) National Center for Tumor Dise… (DE) | |
| 8 | Tobias Dittrich | Heidelberg University (DE) | |
| 9 | Stephan Christoph Feder | Heidelberg University (DE) | |
| 10 | Pavlina Lenga | Heidelberg University (DE) |
Data: OpenAlex