Transforming Healthcare with AI: Innovate, Integrate, and Inspire
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.
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.
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
Standard: ₹8,998 | $198
Discounted: ₹4499 | $99
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
