Introduction

This course deals with a basic understanding of digital healthcare and various healthcare big data. It examines the types of healthcare big data (wearable device data, dielectric information, medical data, etc.) and examines convergence with artificial intelligence technology and market prospects. It also examines regulations and solutions related to the healthcare industry.

Learning Goals

1. It examines industrial trends in the digital healthcare field and the direction of development of the future healthcare industry.
2. We look at various types of healthcare big data and learn analysis cases applying artificial intelligence technology.
3. We consider healthcare industry-related regulations and ownership issues of patient-derived data.

Course Operation Period

Period : August 19, 2024 ~ January 1, 2024

Course Level

Introductory

Prerequisites

To complete this course successfully, you should have:

1. A basic knowledge of teaching/learning(pedagogy)

2. Some instructing or instructional design experience

3. Fluency of English

Evaluation Standard

Summary of Curriculum

Textbook & References

Textbooks are provided

How to provide assistance for learners

What does this course cover specifically?

You can learn about various medical engineering fields such as anatomy, physiology, medical mechanical engineering, biomaterial engineering, electronic medical equipment, medical imaging, etc. and problem solving based on actual cases.

Do you have a separate course textbook?

Here are some basic and detailed books on this course: However, based on the weekly lecture data file, the contents of each unit are summarized. (Introduction to Biomedical Engineering, Third Edition, John Enderle (ISBN: 0122386620), Elsevier Academic Press)