AED
UAD Dirham
Code: AED
Industrial Program
AI and Digital Health Informatics Integration
Transforming Healthcare with AI: Innovate, Integrate, and Inspire
Early access to the e-LMS platform is included
About This Course
AI and Digital Health Informatics Integration is a dynamic program designed to merge the technological prowess of artificial intelligence with the nuanced demands of health informatics. The curriculum introduces participants to core concepts of AI such as machine learning, natural language processing, and predictive analytics, and integrates these with health informatics systems, data management, and electronic health records.
Aim
The program aims to equip participants with advanced knowledge and skills at the intersection of AI and health informatics. It focuses on leveraging artificial intelligence to enhance data analysis, decision-making, and patient care in the healthcare sector, preparing participants for the digital transformation of healthcare services.
Program Objectives
- Understand the integration of AI technologies in healthcare informatics.
- Develop skills in managing and analyzing health data using AI tools.
- Apply AI to enhance clinical decision-making and patient management.
- Explore ethical considerations and regulatory compliance in digital health.
- Foster innovation in designing digital solutions for healthcare challenges.
Program Structure
Week 1: Foundations of AI and Digital Health Systems
-
Introduction to AI, ML, and big data in healthcare
-
Digital health architectures and system interoperability
-
Health informatics standards: HL7, FHIR, and DICOM
-
EHRs, telehealth, and mobile health (mHealth) platforms
Week 2: Data Science for Healthcare Applications
-
Health data acquisition, cleaning, and integration
-
Clinical data mining and pattern recognition
-
Time-series and imaging data in diagnostics
-
Deep learning models in biomedical signal processing
Week 3: AI-Driven Decision Support and Risk Modeling
-
Clinical Decision Support Systems (CDSS)
-
Predictive analytics for patient outcomes
-
AI tools for early diagnosis and treatment planning
-
Ethics, fairness, and bias in algorithmic healthcare
Week 4: Translational AI, Regulations, and Innovation
-
-
AI implementation in hospital and public health workflows
-
Regulatory frameworks (FDA, CE, NDHM) and data privacy
-
Case studies: Digital therapeutics, RPM, and virtual care
-
Future trends: Digital twins, federated learning, and explainable AI
-
Who Should Enrol?
- Undergraduate degree in Computer Science, Healthcare Informatics, or related fields.
- Healthcare professionals seeking to integrate AI technologies in their practice.
- Technologists and data scientists interested in health data applications.
Program Outcomes
- Mastery of AI applications in healthcare settings
- Enhanced ability to analyze and manage large health data sets
- Practical skills in implementing AI-driven health informatics solutions
- Understanding of ethical and regulatory dimensions in digital health
- Capability to contribute to healthcare policy and strategy discussions
Fee Structure
Standard: ₹8,998 | $198
Discounted: ₹4499 | $99
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
★★★★★
🌱 AI-Powered Life Cycle Assessment Dashboards
Javad • ★★★★★
AI in Clinical Analytics
Karin Schmid • ★★★★★
Build Intelligent AI Apps with Retrieval-Augmented Generation (RAG)
منال القحطاني • ★★★★★
AI-Powered Multi-Omics Data Integration for Biomarker Discovery
Abhijit Sanyal • View All Feedbacks →