Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a “Fall Prevention” Data Module: Development Study
This approach addresses the lack of structured nursing data for AI and research and can serve as an example for interoperable, cross-sector solutions in global LTC.
Authors
- Niklas Tschorn
- Wolfgang Deiters (ORCID: https://orcid.org/0000-0001-5088-4324)
- Anja Burmann (ORCID: https://orcid.org/0000-0002-6989-1230)
- Annie Schmidt (ORCID: https://orcid.org/0000-0003-4174-552X)
- Sarah Milkov (ORCID: https://orcid.org/0000-0002-1230-3717)
- Christian Potthoff
- Marcel Klötgen
- Kirsten Neveling
- Yvonne Weber
Institutions
- Paderborn University (DE)
- Diakonie Deutschland (DE)
- Hesse (Germany) (DE)
- Bochum University of Applied Sciences (DE)
- Fraunhofer Institute for Software and Systems Engineering (DE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-01-09
- DOI
- https://doi.org/10.2196/82417
- Primary Topic
- Nursing Diagnosis and Documentation
- Type
- article
- Field-Weighted Citation Impact
- 0.00