Speakers - 2026

Title: Artificial Intelligence in Nursing: Leading the Future of Global Healthcare Delivery in Emergency Departments

Abstract

Nursing leadership is essential to the ethical and effective integration of artificial intelligence into healthcare. By guiding AI adoption with a focus on equity, safety, and compassion, nurses can shape the future of global healthcare delivery. Artificial intelligence (AI) is rapidly reshaping healthcare, offering tools that can enhance clinical decision-making, optimize resource allocation, and improve population health outcomes. While much of the discourse centers on technological capacity, the success of AI integration depends on human leadership. Nurses, as patient advocates and system innovators, are uniquely positioned to guide the ethical, equitable, and effective adoption of AI in healthcare delivery worldwide. This project examines the emerging role of Emergency Department nursing leadership in the implementation of AI-driven innovations. Areas of focus included (1) AI-enabled clinical decision support to reduce errors and enhance patient safety, (2) predictive analytics applied to workforce planning and burnout prevention, and (3) machine learning models in population health to identify high-risk groups and tailor interventions. Nurse leaders engaged in crossdisciplinary collaborations to ensure that AI tools were clinically relevant, culturally sensitive, and aligned with the principles of holistic, patient-centered care. Preliminary outcomes demonstrated increased efficiency in care coordination, improved staff satisfaction with AI-supported workflows, and enhanced patient outcomes. Importantly, nursing leadership proved critical in addressing issues of algorithmic bias, equity, and patient trust, ensuring that technological innovation supports — rather than undermines — the human aspects of healthcare. By positioning nurses at the forefront of AI adoption, healthcare systems can ensure that innovation amplifies nursing’s core strengths: advocacy, compassion, and systems thinking. This work highlights the essential role of nursing leadership in shaping a sustainable, humancentered future for global healthcare.

What will the audience take away from presentation:

a. Nurses as AI Leaders: Nurses guide ethical, equitable, and patient-centered AI adoption.

b. Practical Applications: AI enhances clinical decision-making, workforce planning, and population health management.

c. Mitigating Risks: Strategies to prevent algorithmic bias, protect data, and maintain patient trust.

d. Global Impact: Insights for scaling AI innovations across diverse and low-resource healthcare settings.

e. Future Vision: AI amplifies nursing strengths—advocacy, holistic care, and systems thinking—to shape the future of healthcare.

How the audience will be able to use what they learn?

a. Apply ethical AI principles in your practice or leadership role.

b. Use AI tools to improve patient care, workflows, and population health management.

c. Lead AI initiatives including staff training, workflow redesign, and policy development.

d. Identify and mitigate algorithmic bias and privacy risks.

e. Adapt AI lessons for global or low-resource healthcare environments.

How will this help the audience in their job?

Attendees will leave equipped to use AI in ways that improve care, optimize workflows, lead innovation, and strengthen ethical, patient-centered practices in their roles.

Is this research that other faculty could use to expand their research or teaching?

Yes, this presentation of research provides faculty with frameworks and examples to expand research, enhance curriculum, and prepare future nursing leaders for AI-driven healthcare

Does this provide a practical solution to a problem that could simplify or make a designer’s job more efficient?

Yes, the AI & Nursing Leadership content can provide practical solutions that simplify or make a designer’s or healthcare innovator’s job more efficient, especially in system design, workflow planning, or technology integration.

Will it improve the accuracy of a design, or provide new information to assist in a design problem?

Yes, by combining nurse expertise with AI analytics, designers gain more accurate, actionable, and innovative insights. This leads to healthcare solutions that are safer, more efficient, and better aligned with patient care and staff needs.

List all other benefits:

i. Clinical Practice: Enhances decision-making with AI-supported insights, optimizes workflow and resource allocation, reducing burnout, improves patient safety, care quality, and evidence-based practice, and supports efficient care coordination and task prioritization

ii. Nursing Leadership: Empowers nurses to lead AI initiatives ethically and effectively, strengthens workforce management and planning, builds leadership skills in technology integration, Promotes human-centered adoption of AI

iii. Faculty / Research & Teaching: Provides frameworks for AI research and outcome studies, supports teaching through case studies, simulations, and interprofessional learning, and Encourages student-led projects on AI in healthcare delivery

iv. Designers / System Innovators: Offers insights for accurate, efficient workflow and system design, reduces errors and identifies process bottlenecks, provides novel data for problem-solving and optimization, and Ensures AI tools are human-centered and ethically aligned

v. Global Health & Organizations: Advances equity and access in underserved populations, demonstrates scalable innovations for global healthcare, enhances organizational readiness for AI adoption, and strengthens interprofessional collaboration and system efficiency.