Designing Human-Centered Artificial Intelligence: A Nurse-Led Call to Action

Designing Human-Centered Artificial Intelligence: A Nurse-Led Call to Action

Wednesday, March 11, 2026 11:00 AM to 12:00 PM · 1 hr. (US/Pacific)
Level 3 | San Polo 3501A
Education Sessions
Artificial Intelligence in Healthcare

Information

This interactive workshop reframes nurses as digital-care designers and essential decision-makers in the integration of AI. Grounded in the belief that nurses are the soul of care, the session emphasizes the urgent need for their voices to shape the future of ethical and intelligent healthcare technologies. Participants will engage in a hands-on redesign of AI-supported clinical workflows to uncover real-world, unmet needs—clinical, emotional, ethical and logistical—that often go unnoticed in tech-driven innovation. Through small-group collaboration and guided reflection, interdisciplinary teams will identify gaps in current AI task distribution and propose nurse-informed, human-centered solutions. Drawing from authentic clinical scenarios, the workshop explores the emotional labor and ethical tensions experienced by nurses in AI-enhanced environments. Participants will document their findings and recommendations in a shared, real-time deliverable: the “Top 10 Unmet Needs in AI-Enhanced Care”—a strategic innovation brief to be disseminated to startups, developers and the HIMSS innovation community. By centering the lived experience of nurses, this session challenges traditional tech hierarchies and inspires a shift toward inclusive, compassionate AI design. Take-home message: Nurses must be co-creators—not passive users—of digital healthcare systems. Their frontline insights are essential to building AI that is not only effective, but trustworthy, ethical and deeply human.

Topic
Clinical AI Solutions for Care Delivery and Patient Outcomes
Target Audience
Clinical InformaticistCNIO/CNONurse
Level
Introductory
Format
Workshop
CEU Type
CAHIMSCNECPDHTSCPHIMSPMI/PDU
Contact Hours
1.00
Learning Objective #1
Identify and prioritize both clinical and emotional unmet needs that emerge within current AI-supported workflows by analyzing real-world care scenarios
Learning Objective #2
Apply a collaborative design framework to reimagine task distribution between nurses and AI, ensuring that technology enhances rather than replaces clinical judgment
Learning Objective #3
Evaluate the key risks and opportunities that arise in human-machine collaboration within clinical care settings
Session #
106

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