Health Informatics

and Applications of AI in Healthcare

Program Description

This three-month fourteen-week course provides an in-depth understanding of health informatics and explores the applications of artificial intelligence (AI) and machine learning in the healthcare sector. Participants will gain a comprehensive knowledge of information technology fundamentals, health information modules, diagnostic coding systems, and the integration of AI technologies. During the program, will explore the challenges, opportunities, methods of analysis, and ethical considerations related to utilizing Big Data in healthcare. The course will delve into the current applications of information technology and AI in healthcare, emphasizing how AI and machine learning can improve the quality and safety of patient care. Practical sessions and case studies will be incorporated to apply the learned concepts in real-world scenarios.

Program Objectives

1. Understand the fundamentals of information technology and health information systems.

2. Explore various health information modules and their roles in healthcare settings.

3. Comprehend the concepts of Diagnostic-Related Groups (DRGs) and International Classification of Diseases (ICDs).

4. Understand the basics of Big Data and its applications in healthcare.

5. Identify the challenges and opportunities of using Big Data in the healthcare sector.

6. Apply Big Data analytics to address real-world healthcare issues effectively.

7. Analyze different types of Big Data and methods of collection and storage in healthcare.

8. Assess the benefits and potential impact of leveraging Big Data for healthcare improvement.

9. Recognize and address the ethical considerations related to Big Data usage in healthcare.

10. Introduce AI and machine learning and their applications in the health sector.

11. Examine the current applications of information technology and AI in healthcare.

12. Analyze how AI and machine learning can enhance the quality and safety of patient care.

13. Apply acquired knowledge through practical sessions and case studies.

Program Outline

Module 1: Health Informatics and

• Fundamentals of Information Technology and HIS (EMR, HER, VMR)

• Health Information Modules (PACS - CDSS- Lab- Billing)

• DRGs & ICDs

Module 2: BIG DATA and its applications in Healthcare Sector

• Introduction to Big Data in Healthcare

• Challenges and Opportunities of Big Data in Healthcare

• Types of Big Data in Healthcare

• Collecting, Storing, and Managing Big Data in Healthcare

• Analyzing Big Data in Healthcare

• Benefits of Big Data in Healthcare

• Applying Big Data Analytics in Real-world Healthcare Problems

Module 3: AI and its applications in Health Sector

• Introducing AI and Machine Learning in the Health Sector

• Applications of AI in the Health Sector

• AI and Machine Learning for Healthcare Data Analytics

• AI for Clinical Decision Support

• AI for Quality and Safety of Patient Care

• Ethical and Legal Considerations in AI and Health Informatics

• Future Trends and Challenges in Health Informatics and AI