01
The critic
Run a triage scenario, find what the prompt fails to ask for, and test whether AI recommendations shift with patient demographics.
AI VITALS CheckAtlanta · Georgia
Nursing judgment meets responsible AI
AI VITALSCheckNursing AI Symposium
Can Your AI Pass a Nursing Assessment?
Large language models are already embedded in clinical documentation, triage, and patient communication. The question is no longer whether nurses will encounter AI. It is whether they will have the authority and literacy to evaluate and challenge it.
Event factsIn person
Date
Monday, October 12, 2026
Time
8:00 AM to 5:00 PM
Place
Emory University
1520 Clifton Road, Classroom 276
Capacity
50 in-person participants
No coding, no math, and no real patient data.
What happens
Stress-test AI the way a nurse assesses a patient
VITALS stands for Vetting Intelligent Tools with Appraisal and Literacy Skills. Working in facilitated teams of four to six, participants stress-test AI systems the way a nurse assesses a patient. No coding, no math, and no real patient data.
02
The evaluator
See how the same patient documented in different words changes what the AI tells the next nurse, then decide what a good AI response even means.
03
The risk analyst
Map how nurses, students, and patients actually use AI, and rank which risks matter most in your setting.
In the afternoon, teams turn the day's findings into one written guardrail recommendation and present it. The day closes with a survey, certificates, and a final reflection.
The day
A full day of shared evaluation
The schedule moves from individual assessment to team guardrails, presentations, and a closing reflection.
One shared case
Many ways to see it
Teams work through three roles before writing one guardrail recommendation for their setting.
- Registration and check in
- Opening, program orientation, and team setup
- Activity 1, the critic
- Activity 2, the evaluator
- Activity 3, the risk analyst
- Lunch, open seating across teams
- Interdisciplinary panel
- Team guardrail writing and presentation prep
- Team presentations
- Closing survey
- Closing and certificates
- Adjourn
Who should come
Bring a nursing question, not a technical background
Nursing students at all levels, practicing nurses, and patient participants. No technical background is required, and no prior AI experience is expected.
Participants come from Emory, Atlanta University Center institutions, Georgia State University, and partner nursing programs. Each team is joined by a mentor with a computer science or AI background.
What you take home
- Direct experience evaluating multiple live LLMs against nursing scenarios
- A team-authored guardrail recommendation you can bring to your unit or program
- A certificate of participation
- Lunch and refreshments
- Nursing continuing professional development contact hours (separate registration and fee apply)
People behind the day
Built across nursing, medicine, computing, and community
Our organizing committee is made up of volunteers from several institutions.
Hyunjung Gloria Kwak
PhD
Emory University, School of Nursing
Delwin Millan Villarante
DNP, MSHI, RN, CTFL, CPPS
Boston Scientific; BIDMC
Leo Anthony Celi
MD, MS, MPH
MIT Critical Data; Harvard Medical School
Mary E. Lough
PhD, RN, CNS, FCCM, FAHA, FCNS, FAAN
Stanford University School of Medicine; Stanford Health Care
Andre L. Holder
MD, MS, FCCM
Emory University School of Medicine, Pulmonary and Critical Care; Biomedical Informatics
Muhammed Idris
PhD
Morehouse School of Medicine
Lynne Simpson
PhD
Morehouse School of Medicine
Mary Collette Russell
RN, BSN
BIDMC
Kushul Reddy Palakala
Master's student
University of North Florida, School of Computing
Gabriel Leubner
MSc
Independent researcher
Josephine Nanyonjo
MSN student, RN, BScN
University of British Columbia, Okanagan
Lila Chan
RN, BSN; BCS student
University of British Columbia
Rahul Manjangal Narayanan
RPN; BHSc student
The Ottawa Hospital; Queen’s University; University of Ottawa Heart Institute
Ruohan Feng
Doctoral student
Georgia Institute of Technology, School of Psychological and Brain Sciences
Yinqi Huang
Doctoral student
Georgia Institute of Technology, School of Psychological and Brain Sciences
Himadri Pandey
PhD candidate, Machine Learning
Georgia Institute of Technology, ISyE
Yingchuan Sun
Doctoral student
Emory University, Computer Science and Informatics
Yi-Ching Lee
Doctoral student
Georgia Institute of Technology, School of Computational Science and Engineering
Shreeyash Gowaikar
Second-year MS student
Georgia Institute of Technology, Computer Science
Jonathan Kang
Research specialist
Emory University School of Medicine
Lovely Yeswanth
Software engineer
Emory University
Isaac Mateo Gavilanes Chavez
Biomedical Engineering student
Yachay Tech
Remote website and registration-form support
Registration
Make your place in the room
The Nursing AI Symposium (AI VITALS Check) takes place on Monday, October 12, 2026, from 8:00 AM to 5:00 PM at the Emory University School of Nursing. Space is limited to 50 in-person participants. This workshop is part of a research study at Emory University, and agreeing to take part in the study is required to attend. About one week before the event, registered participants receive an email with the study information and consent form, a short pre-event survey of about 10 minutes, a one-page pre-reading, and their team assignment.
Pre-registration status
Registration is limited to 50 in-person participants. Once 50 places are confirmed, additional submissions will be handled as a waitlist by the organizers.
Begin pre-registrationSubmitting the form does not confirm a place or collect payment.
5.5 nursing continuing professional development contact hours are available through a separate registration and fee with Emory Nursing Continuing Education.
Emory Nursing Professional Development Center (ENPDC) is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation.
Photos, video, and short interviews
Photographs, video, and short interviews may be taken at this event and may be used by Emory University in publications, on websites, and on social media. The registration form asks: Are you comfortable being photographed, recorded, or interviewed? If you answer No, please also tell a staff member on the day of the event so we can note it on site.
The website does not collect registration data. The external Google Form is managed by the event organizers; study consent is collected separately in REDCap.
Emory University · 1520 Clifton Road, Classroom 276Review the program
This educational symposium does not use real patient data. AI tools are evaluated as part of facilitated learning and do not replace professional judgment.