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From Evidence to Implementation: Logic Modelling for Digital Nursing Innovation.

Elske Ammenwerth¹, Stefan Hochwarter², Mirna Ban³

¹UMIT TIROL, Institute of Medical Informatics, Hall in Tirol, Austria.

Studies in Health Technology and Informatics

|May 23, 2026

Summary

This summary is machine-generated.

Digital innovations are being developed to reduce nurses' workload and documentation burden. Logic models guide these innovations by identifying key mechanisms for unburdening and empowering nurses in their care processes.

Keywords:

Logic model Theory of Change co-design nursing innovation

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Area of Science:

Nursing Informatics
Digital Health Innovations
Healthcare Process Improvement

Background:

Nurses experience escalating workloads and extensive documentation requirements.
The N!CA (Digitalisation of Innovative Care Processes to Unburden and Empower Nurses) project aims to create digital solutions for nursing challenges.

Purpose of the Study:

To develop logic models for key nursing use cases within the N!CA project.
To identify mechanisms through which digital innovations can alleviate nursing burden.

Main Methods:

A Theory-of-Change approach was employed.
Logic models were constructed for critical nursing workflows: handover, interdisciplinary rounds, medication management, and patient self-assessment.

Main Results:

The developed logic models identify strategies like workflow standardization and point-of-care digital tools.
These mechanisms are predicted to decrease the burden on nursing staff.
The logic models will serve as a blueprint for forthcoming digital innovations.

Conclusions:

Structured logic modelling offers a method to integrate evidence, contextual factors, and practical application.
This approach can effectively guide the development of targeted digital health solutions for nursing.