Course Overview:
The course is designed to provide participants with a comprehensive understanding of how technology, data science, and information management are applied in healthcare and biomedical research. The course is interdisciplinary field to integrate knowledge from medicine, biology, computer science, and data analytics to manage and analyze vast amounts of healthcare data, improve clinical workflows, and enable more personalized, data-driven in healthcare solutions.
What you'll learn:
By the end of the course, participants will be able to:
- Understand the basic principles of biomedical informatics.
- Gain knowledge about the medical data managements & analysis techniques
- Learn about the all classification of biomedical informatics and their applications.
- Gain knowledge about future directions & challenges of biomedical informatics.
Requirements:
- Course Level: Beginner / Intermediate Level [This Course in a Foundation Course]
- Course Requirement: There are no course requirements or prerequisites
Assessment Methods:
- Final Hand-On Exam (30% of Total Grade)
- Final Project/Case Study Presentation (30% of Total Grade)
- Quizzes & Assignments After Each Module to Assess Understanding (30% of Total Grade)
- Participation in Discussions & Group Activities (10% of Total Grade)
Recommended Resources:
- Biomedical Informatics: Computer Applications in Health Care and Biomedicine by Edward H. Shortliffe, James J. Cimino V4, 2014
- Online Resources (e.g., Coursera, edX) for Supplementary Learning
Course Delivery Methods:
- Lectures (In-Person or Online)
- Each Module will include lectures, practical/case studies hand-on sessions & assessments.
Course Instructor:
- Ms. Emtithal Ahmed
- Doctor of Biomedical Engineering, R&D of AI & IoT