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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.
JMIR Nursing
|June 2, 2026
Summary
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.
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.
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