Abstract

Background: Health systems face rising pressures from ageing populations, complex care needs, workforce burnout, and persistent nursing shortages. Robotics and artificial intelligence (AI) are emerging as potential supports; however, without clear policies, preparation, and nurse involvement, deployment risks being unsafe, inequitable, and poorly aligned with real-world care.

Aim: To advocate for the responsible, equitable, and ethical integration of robots in nursing practice by aligning action across policy, education, and research, and by situating this agenda within the UN Sustainable Development Goals (SDGs 3, 4, 8, 9, and 10).

Approach/Actions: Our approach is to align policy, education, research, and partnerships to drive responsible, person-centred use of robots in nursing. This means establishing clear standards and funding pathways; embedding digital health and robotics in curricula and CPD; generating practice-relevant evidence on readiness, safety, and ethics; and partnering with patients, industry, and international networks (e.g., Sigma) to ensure nurses’ insights shape design and deployment. Together, these strands enable safe, equitable, evidence-based adoption.

Expected Impact: Safer, evidence-based adoption; improved nurse confidence and capability; reduced fear and resistance; and policies that balance innovation with ethics—contributing to resilient, tech-enabled health systems and better patient outcomes.

Conclusion: Nurses must be central to technology decision-making. Robotics should augment, not replace, professional nursing, advancing person-centred, high-quality care through coordinated policy, education, research, and partnership.

Description

The author was a participant in Global Advocacy, Sigma's virtual mini academy during the September/October 2025 cohort. This submission represents the academy's required Action Plan Presentation which occurs in week six of the program.

Author Details

Aminat A. Adeyemo, PhD, RN; Nancy S. Ferrell Jones, DNP, RN; Hon Lon Tam, PhD, RN

Sigma Membership

Omega Epsilon at-Large

Type

Presentation

Format Type

Text-based Document

Study Design/Type

Descriptive/Correlational

Research Approach

Other

Keywords:

Robots, Robotics, Artificial Intelligence, Nursing Practice

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

Review Type

None: Event Material, Invited Presentation

Acquisition

Proxy-submission

Date of Issue

2025-10-13

Full Text of Presentation

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Click on the above link to access the slide deck.

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