Papers

1

Total Citations

7

H-Index

1

About

Lisa Geist is a researcher focused on the critical intersection of geriatric nursing, digital transformation, and vocational education. Her work addresses the pressing challenge of integrating digital and assistive technologies (DAT) into long-term care settings. Her most-cited study, a 2022 qualitative analysis, identifies key learning measures necessary for the structured introduction of DAT into nursing workflows. This work is foundational, providing a much-needed guideline for training nursing professionals—a concept previously absent in the field. By moving beyond simple technology adoption to focus on sustainable, human-centered implementation, Geist directly tackles the skills gap in caregiving. Her research is essential for policymakers and educators designing curricula for the future of care, demonstrating how to equip a workforce for an increasingly digital environment.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Identifikation von lernfördernden Maßnahmen zur Einführung von digitalen und assistiven Technologien (DAT) in Prozesse der pflegerischen Versorgung: eine qualitative Studie
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Catholic University of Applied Sciences Freiburg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago