Healthcare Data Analytics & AI Applications
This advanced program equips professionals with the skills to analyze healthcare data for predictive insights, operational efficiency, and informed clinical decision-making.
Program Overview
This intensive training enables healthcare professionals to leverage data analytics and artificial intelligence for smarter, evidence-based decision-making across clinical, operational, and strategic domains. Participants will gain practical experience using data visualization, predictive modelling, and AI-assisted tools to address real healthcare challenges.
The program contextualizes analytics within UAE/GCC healthcare systems, emphasizing ethical, legal, and regulatory frameworks relevant to the region (e.g., DHA, MOHAP, GCC health authorities).
Mode of Delivery
- In-person workshops or live online sessions
- Hands-on labs and case-based learning
- AI tool demonstrations and real-time analytics projects
- Peer collaboration and simulation-based scenarios
Target Audience
This program is designed for:
- Healthcare administrators and policy planners
- Hospital and clinic executives
- Data analysts and health informatics professionals
- Physicians, nurses, and clinical decision-makers
- Public health specialists and epidemiologists
- Medical researchers and digital health consultants
- IT professionals in health systems
Objectives of the Training Program
By the end of this course, participants will be able to:
- Understand the fundamentals of healthcare data structures and analytics workflows
- Use AI and ML tools for predictive modelling and decision support
- Visualize trends and KPIs using dashboards and analytics platforms
- Evaluate risks, compliance, and patient data privacy
- Identify opportunities for innovation in digital health using analytics
- Develop and communicate data-driven strategies for healthcare systems
- Align analytical approaches with UAE/GCC health regulations
Course Description
Participants will explore:
- How to collect, clean, and interpret healthcare data
- Predictive modelling for patient outcomes (e.g., readmissions, ER visits)
- Operational analytics (e.g., resource utilization, cost analysis)
- Integration of AI and machine learning into hospital workflows
- Data visualization using tools like Power BI, Tableau, and Python libraries
- Ethical considerations and data governance in healthcare AI
Learning Outcomes
Participants will be able to:
1. Apply data analytics to improve patient care and resource efficiency
2. Use predictive AI models to anticipate health risks and outcomes
3. Design data dashboards for strategic planning and reporting
4. Integrate ethical frameworks and regulatory standards in AI use
5. Present real-world healthcare data solutions to decision-makers
Methodology
1. Real-time data analysis using sample healthcare datasets
2. AI and ML toolkits: Python, Power BI, Tableau, and AutoML
3. Use case studies from UAE, GCC, and global healthcare systems
4. Practical labs: readmission risk, patient segmentation, trend analysis
5. Group projects and peer-reviewed final presentations
Certification
1. Certificate of Completion from the American University in the Emirates (AUE)
2. Attendance certificates are attested by KHDA
3. Optional 3 Continuing Education Credits (CECs)
Strategic Relevance
1. Supports UAE’s National Health Strategy 2050 and AI Strategy 2031
2. Aligns with GCC healthcare innovation and digital transformation goals
3. Prepares professionals for evidence-based, tech-enabled health leadership
Schedule & Topics
| Day | Session Title | Hours | Focus & Learning Outcomes |
|---|---|---|---|
| Day 1 | Introduction to Healthcare Data & Analytics Ecosystem | 4 hrs |
Types of healthcare data, analytics use cases, UAE/GCC context |
| Day 2 | Data Cleaning, Structuring & Governance | 4 hrs |
Data preparation, patient privacy, regulatory frameworks |
| Day 3 | Predictive Modeling & Machine Learning in Healthcare | 4 hrs |
Risk prediction, readmission models, outcome forecasting |
| Day 4 | AI in Clinical Decision Support & Diagnostics | 4 hrs |
AI applications, ethics, and real-world implementation |
| Day 5 | Healthcare Operations & Resource Optimization | 4 hrs |
Cost modeling, resource allocation, wait-time optimization |
| Day 6 | Data Visualization & Insight Communication | 4 hrs |
Power BI / Tableau dashboards for executive reporting |
| Day 7 | Final Project: AI-Driven Healthcare Solution | 4 hrs |
Presentation of data-driven healthcare improvement strategy |
Perfect For You
Program Investment
AED 6,500 – 9,000 per participant Includes:
1. Certification & KHDA documentation
2. Access to case studies and branding toolkits
3. Final project evaluation and expert feedback
4. Exclusive guest sessions with experts in diplomacy and branding
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