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This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (3556) Assisted Living for the Elderly and Nursing Home Care (277) Falls Prevention in the Elderly (198) Falls and Emergency Detection with Sensors and other Technologies (79) Nursing in a Long-Term Care Facility / Nursing Home for the Elderly (76) Standards and Interoperability (212) Theme Issue: Artificial Intelligence (AI) in Nursing (78)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82417, first published .
Nurse uses tablet with medical data overlay in modern hospital, showcasing healthcare technology.

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a “Fall Prevention” Data Module: Development Study

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a “Fall Prevention” Data Module: Development Study

Authors of this article:

Sarah Milkov1 Author Orcid Image ;   Antonia Schmidt2 Author Orcid Image ;   Anja Burmann3 Author Orcid Image ;   Niklas Tschorn2 Author Orcid Image ;   Marcel Klötgen2 Author Orcid Image ;   Wolfgang Deiters1 Author Orcid Image ;   Christian Potthoff4 Author Orcid Image ;   Kirsten Neveling4 Author Orcid Image ;   Yvonne Weber5 Author Orcid Image ;   Maren Keuchel3 Author Orcid Image ;   Daniela Holle1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Yin X, Song H, Moreira J, Song C, Sun Y. Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study. DIGITAL HEALTH 2026;12 View