As part of King Saud University Medical City's commitment to advancing healthcare innovation and professional development, KSUMC is pleased to present the 4th KSUMC Nursing Conference: AI-Driven Healthcare, a two-day, in-person scientific event exploring the rapidly evolving role of artificial intelligence across healthcare.
The event brings together healthcare professionals, leaders, researchers, innovators, and technology partners to examine how AI is transforming clinical care, patient safety, operational performance, education, research, and the patient experience, while critically addressing the ethical, legal, governance, and human challenges that accompany its adoption.
| Location |
📍 DUH Main Auditorium – King Saud University Medical City, Riyadh
📍 Click here to open the location on Google Maps |
| Date | Wednesday – Thursday, 25 – 26 November 2026 |
| Time | 7:30 AM – 3:00 PM |
| Duration | 2 Days |
By the end of this conference, participants will be able to:
Participants will be better prepared to critically appraise healthcare AI use cases, recognize major risks related to bias, privacy, cybersecurity, and accountability, identify essential governance and evaluation requirements, discuss the impact of AI on professional roles and patient relationships, and identify practical pathways for safe and responsible AI integration within healthcare organizations.
| Time | Session |
|---|---|
| Day 1 – Wednesday, 25 November 2026 | |
| 07:30 – 08:00 | Registration |
| 08:00 – 08:10 | Recitation of the Holy Qur'an & Saudi National Anthem |
| 08:10 – 08:20 | Welcome Remarks
🎤 Mr. Abdulellah Alhaidary, Chief Nursing Officer
|
| 08:20 – 08:30 | Inspirational Speech
🎤 Dr. Abdulaziz Al-Thunayan, Chief Executive Officer
|
| 08:30 – 09:00 | Recognition of Exhibitors & Sponsors and Photo Session |
| 09:00 – 09:20 | Poster Presentation Rounds (in front of DUH Auditorium) |
| 09:20 – 10:00 | Artificial Intelligence Nursing Exhibit Opening (Panorama Hall) |
| 10:00 – 10:10 | Coffee & Dates |
| 10:10 – 10:30 | King Saud University Medical City Nursing Artificial Intelligence Journey and Milestones
🎤 Mr. Abdulelah AlHaidary, Chief Nursing Officer
|
| 10:30 – 10:50 | Artificial Intelligence in Critical Care Medicine
🎤 Dr. Mohammed Alarifi
|
| 10:50 – 11:10 | From Vision to the Bedside: A Nurse Leader's Blueprint for Artificial Intelligence Workforce Strategy, Cultural Adoption, and Operational Execution
🎤 Dr. Yousef Alshamlani
|
| 11:10 – 11:30 | Smart Medical Robotics in Bahrain: Nursing Innovation to Protect Frontline Healthcare Workers During COVID-19
🎤 Dr. Fatema Abdulwahed AlAhmed
|
| 11:30 – 11:55 | Panel Discussion (Q&A) & Awarding of Certificates |
| 11:55 – 13:00 | Lunch Break & Prayer Time |
| 13:00 – 13:20 | Workforce Management and Optimization
🎤 Ms. Areej Alyamani
|
| 13:20 – 13:40 | Ma'ak: An Artificial Intelligence-Driven Voice-Enabled Digital Health Platform for Medication Adherence, Health Management, and Smart Patient Support
🎤 Dr. Abdullah Fardan
|
| 13:40 – 14:00 | Nashr Copilot: A Scalable Artificial Intelligence-Powered Assistant for Nursing Onboarding, Education, and Knowledge Management
🎤 Mr. Jaypee Sidon
|
| 14:00 – 14:20 | Generative Artificial Intelligence in Everyday Healthcare Providers
🎤 Dr. Hani Timsah
|
| 14:20 – 14:45 | Panel Discussion (Q&A) & Awarding of Certificates |
| 14:45 – 15:00 | Day 1 Evaluation & Closing |
| Day 2 – Thursday, 26 November 2026 | |
| 08:00 – 08:10 | Welcome Remarks |
| 08:10 – 08:25 | Tele and Smart Intensive Care Unit
🎤 Dr. Rashid Albalaa
|
| 08:25 – 08:45 | Topic to be announced
🎤 Dr. Ibrahim Baalharith
|
| 08:45 – 09:05 | Artificial Intelligence & Virtual Reality: Transforming Nursing Education
🎤 Dr. Saud Alturki
|
| 09:05 – 09:25 | Artificial Intelligence-Enabled Stepped-Care Psychotherapy: A Pilot Model to Improve Access, Efficiency, and Cost-Effectiveness in Mental Health Services
🎤 Prof. Ahmad AlHadi
|
| 09:25 – 09:50 | Panel Discussion (Q&A) & Awarding of Certificates |
| 09:50 – 10:05 | Coffee Break |
| 10:05 – 10:25 | Nurses' Perceptions and Behavioral Intention Using Artificial Intelligence in Clinical Nursing Practice: A Unified Theory of Acceptance and Use of Technology-Based Cross-Sectional Study in a Rehabilitation Facility in Riyadh, Saudi Arabia
🎤 Mr. Rhez Plando, Registered Nurse
|
| 10:25 – 10:45 | Impact of Structured Artificial Intelligence Training on Nursing Project Establishment in an Academic Tertiary Care Hospital
🎤 Mr. Hadi Elbarazi
|
| 10:45 – 11:05 | Transforming Emergency Nursing Education Through Artificial Intelligence-Generated Clinical Case Scenarios
🎤 Ms. Haifa Ibrahim Aleid
|
| 11:05 – 11:25 | “We Use It, but Can't Admit It”: Healthcare Professionals' Experiences of Artificial Intelligence in a Saudi Arabian Healthcare Setting
🎤 Mr. Steven Callaghan
|
| 11:25 – 11:50 | Panel Discussion (Q&A) & Awarding of Certificates |
| 11:50 – 13:00 | Lunch Break & Prayer Time |
| 13:00 – 13:20 | Artificial Intelligence in the Cath Lab: Elevating Nursing Precision, Safety, & Team Performance
🎤 Dr. Waleed Alharbi
|
| 13:20 – 13:40 | Nurse Readiness to Use Artificial Intelligence in Patient Care: A Systematic Review and Meta-Analysis
🎤 Dr. Bushra Al Hnaidi
|
| 13:40 – 14:00 | Operational Feasibility of INARAH: An Artificial Intelligence-Powered, Arabic-First Remote Monitoring and Triage Platform for Post-Discharge Cardiac Care
🎤 Ms. Shuruq Fahad Alosaimi
|
| 14:00 – 14:15 | Panel Discussion (Q&A) |
| 14:15 – 14:35 | Day 2 Evaluation & Awarding of Certificates |
| 14:35 – 14:45 | Closing Remarks |
| Time | Workshop |
|---|---|
| Day 1 09:00 – 11:00 |
Harnessing the Power of Artificial Intelligence in Healthcare
🎤 Mark Fielding
Format: Online (max. 20)
|
| Day 1 13:00 – 15:00 |
Artificial Intelligence & Virtual Reality Transforming Nursing Education – Enhanced by MedicalVR
🎤 Dr. Saud Alturki
Format: Face to face (max. 35)
|
| Day 2 09:00 – 13:00 |
Artificial Intelligence-Powered Process Improvement Using FOCUS-PDCA
🎤 Shaymaa Malibari & Pradeep Sharma
Format: Face to face (max. 30)
|
Posters are displayed in front of the DUH Auditorium during the poster presentation rounds on Day 1 (9:00 – 9:20 AM).
| # | Poster Title |
|---|---|
| 1 | Bridging Hospital and Home: A Nurse-Led Cardiac Rehabilitation Continuum for Acute Coronary Syndrome Patients During Hajj
👤 Shumukh Sultan Alyamani · External
|
| 2 | Assessment of Perceptions and Barriers of Nurses in Using Electronic Handover Information System
👤 Febee Rose B. Obdamen · External
|
| 3 | Artificial Intelligence in Nursing Management and Leadership: Opportunities, Challenges, and Ethical Implementation
👤 Redha Abdulla Al Hammam · External
|
| 4 | From Classroom to Intelligent Care: HxPRT Hospital Information System Simulation as an Artificial Intelligence-Enabled Environment for Nursing Digital Readiness
👤 Samir Sawli · External
|
| 5 | Artificial Intelligence–Based Prediction of Weaning Readiness in Adult Patients Supported With Venoarterial Extracorporeal Membrane Oxygenation
👤 Saleh Aloraij · External
|
| 6 | High-Risk Uses of Generative Artificial Intelligence in Nursing Practice: An Integrative Review
👤 Eftkhar Alroyley · External
|
| 7 | Patient Safety and Artificial Intelligence
👤 Dr. Bushra Jafar Al Hnaidi · Internal
|
| 8 | Nurse Readiness to Use Artificial Intelligence in Patient Care: A Systematic Review and Meta-Analysis
👤 Dr. Bushra Jafar Al Hnaidi · Internal
|
| 9 | Artificial Intelligence in Nursing Research: Opportunities, Applications, and Responsible Use
👤 Sanaa Ghulman · Internal
|
| 10 | Artificial Intelligence-Driven Periodic Automatic Replenishment Level Inventory Optimization
👤 Fehaid Almutairi · Internal
|
| 11 | Nurses' Perceptions, Experience and Knowledge Regarding Artificial Intelligence at King Saud University Medical City: A Cross-Sectional Study
👤 Alawiah AlSadah · Internal
|
| 12 | Enhancing Neonatal Nursing Student Knowledge and Confidence in Skin-to-Skin (Kangaroo Care) Through Virtual Reality (Virtual Reality) Simulation Training
👤 Hanan Sanad · Internal
|
| 13 | Artificial Intelligence-Driven Pressure Injury Prediction, Assessment, Management and Treatment Support
👤 Leah Ruth Y. Bautista · Internal
|
| 14 | Integration of a Smart Patient Navigation Module within the Hospital Patient Services System
👤 Sarah Ali Almadkhali · Internal
|
| 15 | Development and Evaluation of an Artificial Intelligence-Supported Interactive Virtual Reality Distraction Intervention for Children Undergoing Peripheral Intravenous Cannulation
👤 Alawiah AlSadah · Internal
|
| 16 | Computer Vision at the Bedside: Advancing Nursing Assessment, Early Detection, and Patient Safety
👤 Omar Alnobani · Internal
|
-Director of Nursing Services at King Saud University Medical City, with over seven years of experience in leadership, nursing team management, and healthcare operations, with a strong focus on staff development and quality of care
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