Join us for a conference focused on the educational impact of artificial intelligence across the health sciences.
Sessions will explore how AI is reshaping teaching, learning, assessment, curriculum design, and student support in medical, nursing, and allied health professions education.
We will have poster sessions, individual podium sessions, panel discussions, and workshops.
8:00am - 5:00pm
Rush University
600 S. Paulina St.
Chicago, IL 60612
Armour Academic Center
Learning objectives
- Evaluate at least three AI tools for integration into lspecific health professions educational settings within the next 6 months
- Apply evidence-based strategies for incorporating AI technologies into clinical education while addressing ethical considerations
- Develop an implementation plan for AI-enhanced teaching methods in your own educational practice
Registration is now open! Breakfast, lunch, and a light afternoon snack will be served. Registration is capped at 200 due to space restrictions, so sign up today!
The symposium offers registration options and tiered pricing for students or faculty/staff. Choose an option below:
Keynote speaker
Nawar Shara, PhD
Nawar Shara, PhD is a globally recognized expert in Data Science, healthcare informatics, AI, and Big Data solutions. With over two decades of experience, she has made significant contributions to clinical and translational research and AI applications in healthcare.
Dr. Shara is Chief of Research Data Science at MedStar Health Research Institute (MHRI) and the Founding Director of the MedStar-Georgetown Collaborative Center for Artificial Intelligence in Healthcare Research and Education (AI CoLab). She leads initiatives that integrate AI with clinical research and real-world healthcare applications.
Her research focuses on the responsible use of AI in healthcare, with expertise in predictive modeling, machine learning for patient-centered outcomes, and integrating AI into clinical workflows. She has pioneered AI-powered tools to enhance patient-provider communication and clinical decision-making.
As Director of the Center of Biostatistics, Informatics, Data Science at the MedStar Health Research Institute, Dr. Shara oversees a team advancing data-driven healthcare solutions. At Georgetown University, she is an Associate Professor of Medicine, developing curricula and mentoring the next generation of healthcare professional in AI applications.
Dr. Shara serves as a scientific reviewer for the NIH and VA, has extensive NIH funding, and is an international speaker. She leads multi-institutional collaborations through the CTSA program and the NIH-funded AIM-AHEAD consortium’s Data & Research Core.
Dr. Shara holds a PhD and a Master’s degree in Applied Statistics from American University in Washington, DC, as well as a Bachelor’s degree and Graduate Diploma in Economics from Damascus University.
This symposium was the dream of Chair, Emily Rush
Steering Committee Members
Peg Checchi
Piper Hansen
Nadine Lerret
Daniel Martin
Claudia Martinez
Rahul Patwari
Juan Rojas
Jessen Schiebout
Angela Solic
Barbara Swanson
Amarjit Virdi
Lynette Washington
Symposium schedule
Printable version of the schedule
Screen Reader version of the schedule
| 8:00 - 8:30 am | Registration & continental breakfast, Armour Academic Center (AAC) Room 550B |
| 8:30 - 9:00 am | Opening address: Robert Higgins, MD, AAC 539 |
| 9:00 - 10:00 am | Keynote address: Nawar Shara, Ph.D., AAC 539 |
| 10:00 - 10:15 am | Morning break: 5th floor hallway |
| 10:15 - 11:05 am | Concurrent sessions |
Track A: | Panel discussion – AAC 550A "Using Artificial Intelligence to Enhance Selection of Medical School and Residency Applicants" |
Track B: | Podium presentations – Clinical Applications - AAC 994A
|
Track C: | Interactive workshop – AAC 450 "Navigating the AI Governance Maze: Federal, State, and Institutional Approaches for Dual Clinical-Educational Missions" |
Track D: | Podium presentations – Education Tools & Assessment - AAC 994 B
|
| 11:05 - 11:20 am | Short break & session transition |
| 11:20 am - 12:10 pm | Concurrent sessions |
Track A: | Panel discussion – Open room, no panel discussions |
Track B: | Podium presentations – Curriculum Design & Simulation - AAC 994A
|
Track C: | Interactive workshop – AAC 450 "Merging Role-Playing and Feedback in AI-powered Simulations" |
Track D: | Podium presentations – Clinical Machine Learning for Decisions - AAC 994B
|
| 12:10 - 1:00 pm | Lunch & networking break - AAC 550 A & B |
| 1:00 - 1:50 pm | Poster session & concurrent sessions |
Track A: | Poster session will take place in the 5th floor hallway "From Prompt to Practice: Using Custom GPTs to Design Cardiology Curricula" "Rebooting the Classroom: AI Tools for Engaged and Effective Nursing Education" "Accuracy of AI Scoring of Student Interview Skills in a Standardized Patient Simulation" "Navigating Technical, Regulatory, and Ethical Challenges of AI in Ultrasound Imaging" "Implementing ePRISM, an Algorithm-Based Clinical Decision Support Tool" "Integrating AI into Healthcare Simulation Scenario Design: A Comparative Study" "Title Pending" "Grading Graduate Nursing Students’ Written Work with AI Detection" "Quality of ChatGPT Responses to FAQs in Carpal Tunnel Release Surgery" "PubMed vs Artificial Intelligence: Comparison of Search Results" "Enhancing Pharmacy Student Skills Through AI-Driven Patient Counseling Simulations" |
Track B: | N/A |
Track C: | Workshop – AAC 450 "How Medical Students Are Using AI: A Student Perspective" |
| 1:50- 2:00 pm | Break- AAC 5th floor hallway |
| 2:05 - 2:55 pm | Concurrent sessions |
Track A: | Panel discussion – AAC 550A "Defining and Assessing AI Competencies Across Health Sciences Education" |
Track B: | Podium presentations – Readiness & Quality - AAC 994A
|
Track C: | Interactive workshop – AAC 450 "AI in Nursing Education: Moving From Foundational Knowledge to Future Competencies" |
Track D: | Podium presentations – Clinical Communication & Evaluation - AAC 994B
|
| 2:55 - 3:10 pm | Refreshments/Transition: 5th floor hallway |
| 3:10 - 4:00 pm | Concurrent sessions |
Track A: | Panel discussion – AAC 550A "Rewriting the Script: Integrating AI into Teaching Clinical Reasoning in the 21st Century" |
Track B: | Podium presentations – Room 2: AAC 994A- Governance & Leadership
|
Track C: | Interactive workshop – AAC 450 "Do Students Know You Use AI? And Should It Matter?" |
Track D: | Podium presentations – Case Studies & Chatbots - AAC 994B
|
| 4:00 - 4:15 pm | Final transition: 5th floor hallway |
| 4:15 - 5:00 pm | Closing session: From Symposium to Solutions: A Panel Discussion on AI in Healthcare Education- AAC 539 The final session will include very awesome giveaways, so don't miss out! |
Accreditation
Joint Accreditation Statement
In support of improving patient care, Rush University Medical Center is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
Credit Designation Statements
For Medicine:
Rush University Medical Center designates this live activity for a maximum of 7.00 AMA PRA Category 1 Credit(s)TM. Physicians should claim only credit commensurate with the extent of their participation in the activity. Successful completion of this CME activity, which includes participation in the evaluation component, enables the learner to earn credit toward the CME of the American Board of Surgery’s Continuous Certification program. It is the CME activity provider’s responsibility to submit learner completion information to ACCME for the purpose of granting ABS credit.
Successful completion of this CME activity, which includes participation in the evaluation component, enables the learner to earn credit toward the CME of the American Board of Surgery’s Continuous Certification program. It is the CME activity provider’s responsibility to submit learner completion information to ACCME for the purpose of granting ABS credit.
For Nursing:
Rush University Medical Center designates this live activity for a maximum of 7.00 nursing contact hour(s).
For Pharmacy:
Rush University Medical Center designates this knowledge-based activity for a maximum of 7.00 contact hour(s) for pharmacists.
For Psychologists:
Rush University Medical Center designates this live activity for 7.00 CE credits in psychology. Continuing Education (CE) credits for psychologists are provided through the co-sponsorship of the American Psychological Association (APA) Office of Continuing Education in Psychology (CEP). The APA CEP Office maintains responsibility for the content of the programs.
For Dieticians:
This live activity has been approved by the Commission on Dietetic Registration. Completion of this activity awards 7.00 CPEUs.
For Social Work:
As a Jointly Accredited Organization, Rush University Medical Center is approved to offer social work continuing education by the Association of Social Work Boards (ASWB) Approved continuing education (ACE) program. Organizations, not individual courses, are approved under this program. Regulatory boards are the final authority on courses accepted for continuing education credit. Social workers completing this course receive 7.00 general continuing education credits.
For physical therapy or occupational therapy:
Rush University Medical Center is an approved provider for physical therapy (216.000378) and occupational therapy (224.000220) by the Illinois Department of Professional Regulation.
Rush University Medical Center designates this live activity for 7.00 continuing education credits. To claim Continuing Education Credit, attendees must attend the entire session, evaluate and generate a certificate according to the instructions.
Learn more about accreditation, continuing education credit, and disclosure information