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Related Experiment Videos

Readiness Assessment for AI in Nursing Care Projects: Multimethods Study.

Kathrin Seibert¹, Dominik Domhoff¹, Janissa Altona¹

¹Institute of Public Health and Nursing Research, University of Bremen, Universitätsallee 1B-C, Bremen, 28359, Germany, 49 42121868903 ext 21868903.

|June 2, 2026

Summary

This summary is machine-generated.

This study developed the Artificial Intelligence Nursing Care Readiness Assessment (AINCRA) to address challenges in integrating AI into nursing. AINCRA provides a framework for planning and evaluating AI in nursing projects.

Keywords:

artificial intelligence care maturity model nursing readiness

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Area of Science:

Nursing Informatics
Artificial Intelligence in Healthcare
Health Services Research

Background:

Integrating artificial intelligence (AI) into nursing care faces challenges due to unmet requirements and sociotechnical pitfalls.
Existing readiness models lack specificity for AI in nursing care (AINC) projects, particularly concerning diverse care settings.

Purpose of the Study:

To develop a comprehensive Artificial Intelligence Nursing Care Readiness Assessment (AINCRA).
To support the planning, execution, and evaluation of AINC projects.

Main Methods:

A sequential, exploratory, multimethods, bottom-up approach was used for maturity model development.
Insights were gathered from expert workshops, interviews, surveys, rapid reviews, and consensus processes.
A systematic literature review and expert validation through think-aloud interviews and focus groups refined AI readiness attributes.

Main Results:

The AINCRA includes 5 core dimensions (regulatory, processual, technical, social, ethical, community building) and 69 attributes.
It allows stakeholders to assess organizational maturity and proactively shape AINC project approaches.
Experts found AINCRA useful for AINC project development, management, and evaluation.

Conclusions:

AINCRA facilitates planning, evaluation, and enhancement of AI projects throughout their lifecycle in nursing care.
It supports effective AI integration by practitioners, clinical partners, and researchers.
While developed within a European legal framework, AINCRA's attributes can be adapted internationally.