Introduction to Big Data, AI and IoMT in Healthcare

Will big data, AI and connected devices be the mainstream of healthcare in the future? Learn about upcoming trends in these fields!

Course Summary

Ever wondered if your healthcare needs will be taken care of by a robot in the future? How can our health data be safeguarded in the new normal? Will Artificial Intelligence (AI) and connected devices be the mainstream of healthcare in the future? Join me as we explore the answers to these questions.

Requirements 
No prerequisites needed. This course is for beginners who want to know about the current hype and trends in big data, artificial intelligence (AI) and the internet-of-medical-things (IoMT), and how technological innovations in these fields can potentially benefit healthcare and patients.

How long will it take to complete this course?  
Approximately 1.5 hours of lectures and a quiz.

What is this course about?  
The volume of health-related data is increasing exponentially in the digital age. In an era of big data development, there are significant challenges around data sharing and data integration. With advancements in smartphone technologies, diagnostics, and wearable devices, it is only a matter of time whereby a “smart home” will become a “smart hospital-in-a-home”. Now, more than ever, there is a need to be able to harness these data in an appropriate manner for health management and research.

 In this course, you will gain an understanding of the basic concepts of big data, AI and the internet-of-medical-things (IoMT), and why these are important to the health and healthcare sectors. You will explore the current big data landscape and how the IoMT can benefit patient and healthcare management through the use of compatible devices, apps and research platforms. Lastly, you will investigate some of the benefits, challenges, and ethical considerations of implementing AI innovations in healthcare.

Who is course is for:

  • Beginners who are interested to gain a basic understanding of big data, artificial intelligence and IoMT
  • Digital health trainees and students 
  • Aspiring data analysts and data scientists
  • Computer/IT professionals who want to gain a understanding of these upcoming fields 
  • Medical, healthcare and health-related students and trainees 
  • Medical, allied health and public health professionals 
  • Health-related professionals (e.g. health information management, health informatics) 
  • Business professionals/analysts who want to understand the basics and application trends in these fields
  • Persons in digital health start-ups who want to gain an insight into the innovation trends in these fields 
  • Mid-career professionals who want to switch careers and want to gain a basic understanding of these upcoming fields to work in these domains

What you will learn:

  • Understand why there is a need for big data, artificial intelligence (AI) and the internet-of-medical-things (IoMT) in healthcare
  • Articulate the basic concepts of big data, AI and IoMT
  • Identify the current and upcoming trends in big data, AI and IoMT
  • Describe the benefits and challenges of AI-powered healthcare
  • Identify the ethical considerations of AI in healthcare
  • Gain an insight into future trends of big data, AI and IoMT in healthcare

Course Curriculum

"For someone who is new to Big Data, AI and IoMT, the course did a very good job at demystifying these concepts, supported with a variety of real world examples to illustrate the learnings. Thoroughly enjoyed the course! If you are interested in what's next in healthcare, this course is for you!"
Soo Y.Z.

Manager

"Good introduction to the basic concepts surrounding Big Data, AI & IoMT. The course clearly outlines the need for such technologies to address the challenges in healthcare, as well as provided an overview of their applications supported by real world examples."
Adison G.

Pharmacist

"This course is an eye-opener and truly widen my horizons as to how AI can contribute to healthcare. As a data science and healthcare enthusiast, information provided are really up-to-date and insightful!"
Jia Fu E.

Ecommerce Manager

Course Pricing

One Time Payment

$129.99 USD

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