Course Objectives
Commit to applying digital innovation in daily clinical practice
Complete structured exams to assess gained competencies.
Use case scenarios to illustrate innovative patient safety solutions.
Plan multidisciplinary integration of digital tools.
Critically appraise research evidence supporting AI in healthcare.
Assess cybersecurity challenges in digital healthcare.
Apply predictive analytics in healthcare resource management.
Explore AI-driven solutions in digital dentistry.
Demonstrate the role of smart devices in rehabilitation.
Evaluate AI-powered mental health support systems.
Apply digital interventions to reduce errors.
Analyze cost-effectiveness of digital solutions.
Compare innovation applications across specialties.
Utilize big data for public health and surveillance.
Apply digital nutrition and rehabilitation tools in patient care.
Assess wearable devices for chronic disease management.
Discuss laboratory automation and AI-assisted diagnostics.
Examine AI applications in imaging and radiology.
Integrate digital documentation and monitoring in nursing practice.
Evaluate digital tools that enhance medication safety.
Apply telemedicine solutions in patient-centered care.
Identify ethical and legal issues in digital health implementation.
Describe the role of AI in diagnosis, treatment, and patient monitoring.
Define digital transformation and innovation in healthcare.
Course Schedule
Scientific Program: Digital Transformation and Artificial Intelligence in Clinical Practice
Sunday, June 14, 2026
| Time | Details |
|---|---|
| 03:00 PM 04:00 PM |
Introduction to Digital Healthcare Innovation
Lecture
|
| 04:00 PM 04:30 PM |
AI in Clinical Practice: Opportunities and Challenges
Lecture
|
| 04:30 PM 05:00 PM |
Ethical, Legal, and Regulatory Aspects of Digital Health (Part I)
Lecture
|
| 05:00 PM 05:30 PM |
Ethical, Legal, and Regulatory Aspects of Digital Health (Part II)
Lecture
|
| 05:30 PM 06:00 PM |
Panel Discussion (Amjad Humaidan, Fouad Mastour Al-Zahrani, Saleh Mohamed Al-Zahrani) |
| 06:00 PM 06:30 PM |
Case Scenario: AI-Supported Clinical Decision-Making
Case Presentation
|
| 06:30 PM 07:00 PM |
Digital Prescribing and Medication Safety Systems
Lecture
|
| 07:00 PM 07:30 PM |
Nursing Informatics and Remote Monitoring Tools
Lecture
|
| 07:30 PM 08:00 PM |
Big Data and Predictive Analytics in Public Health
Lecture
|
| 08:00 PM 08:30 PM |
Cost-Effectiveness of Digital Innovations in Healthcare
Lecture
|
| 08:30 PM 09:30 PM |
Cybersecurity and Data Protection in Healthcare Systems
Lecture
|
| 09:30 PM 10:30 PM |
Case Scenario: AI in Multidisciplinary Patient Safety
Case Presentation
|
| 10:30 PM 10:45 PM |
Interactive Exams & Competency Verification
|
Monday, June 15, 2026
| Time | Details |
|---|---|
| 02:30 PM 03:30 PM |
AI in Radiology and Imaging Analytics
Lecture
|
| 03:30 PM 04:00 PM |
Automation and AI in Laboratory Diagnostics
Lecture
|
| 04:00 PM 04:30 PM |
Wearable Devices for Chronic Disease Management
Lecture
|
| 04:30 PM 05:00 PM |
Mobile Apps in Nutrition and Rehabilitation Practice
Lecture
|
| 05:00 PM 05:15 PM |
Panel Discussion (Amjad Humaidan, Fouad Mastour Al-Zahrani, Saleh Mohamed Al-Zahrani) |
| 05:15 PM 05:30 PM |
Case Scenario: Digital Innovations in Pharmacy Practice
Case Presentation
|
| 05:30 PM 06:30 PM |
Digital Dentistry: Imaging, AI, and Patient Engagement
Lecture
|
| 06:30 PM 07:30 PM |
AI-Powered Mental Health Interventions
Lecture
|
| 07:30 PM 08:30 PM |
Digital Transformation in Healthcare Administration
Lecture
|
| 08:30 PM 09:30 PM |
Evidence-Based Adoption of AI in Clinical Practice
Lecture
|
| 09:30 PM 10:30 PM |
The Future of Digital Healthcare
Lecture
|
| 10:30 PM 10:45 PM |
Final Comprehensive Exam & Actvity Evaluation |
Total CME Hours: 15:00 Accredited Hours
Target Audience
For All Health Practitioners
Accreditation Information
Accreditation number: ACA-20260001690
Activity organizing entity: Aman co. treatment health training
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