AI and Digital Health Informatics Integration

Transforming Healthcare with AI: Innovate, Integrate, and Inspire

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Weeks

About

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

Intended For

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 Fee: INR ~~8,998~~ USD ~~198~~

Discounted Fee: INR 4499 USD 99

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies