Business Opportunities for using AI in Healthcare
4.0 (2 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
6 students enrolled

Business Opportunities for using AI in Healthcare

Generate new business by understanding the needs of AI implementation in healthcare
4.0 (2 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
6 students enrolled
Created by Dr Saurabh Bhatia
Last updated 7/2019
English
English [Auto-generated]
Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 39 mins on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • This course will teach you how to utilise the Artificial Intelligence in healthcare using real life use-cases.
  • The students should then be able to develop software addressing the specific needs of healthcare.
Requirements
  • Although there are no pre-requisites, it would be helpful if you know a bit about the healthcare world.
  • No coding needed for this course.
Description

This course would be immensely useful for both healthcare professionals as well as software professionals.

Healthcare professionals will be able to understand real life use-cases where they can use AI and ask their vendors to build AI enabled modules for them.

Software professionals, on the other hand, will understand the needs by seeing real life examples and will be in a better position to collect data and build AI modules for their customers.


In this course, I have covered the basic benefits of using AI, Sample analysis using a real life example, the stages in clinical care life cycle where AI can be used for intervention, What will be the data requirements and how to gather that data, AI modelling and extending those models to healthcare, how to bring the stake holders of healthcare together using AI and finally, the challenges for implementing AI in healthcare and how to resolve them.


Who this course is for:
  • Companies and Software developers in AI & ML area, Domain experts of healthcare wishing to explore the potential of AI for healthcare.
  • Anyone else planning to study/ implement AI in Healthcare
Course content
Expand all 11 lectures 39:16
+ Introduction
2 lectures 01:31

In this course, I have covered the basic benefits of using AI, Sample analysis using a real life example, the stages in clinical care life cycle where AI can be used for intervention, What will be the data requirements and how to gather that data, AI modelling and extending those models to healthcare, how to bring the stake holders of healthcare together using AI and finally, the challenges for implementing AI in healthcare and how to resolve them.

Preview 00:37

A word about me to begin with, in the video.

Followed by what I have covered:

In this course, I have covered the basic benefits of using AI, Sample analysis using a real life example, the stages in clinical care life cycle where AI can be used for intervention, What will be the data requirements and how to gather that data, AI modelling and extending those models to healthcare, how to bring the stake holders of healthcare together using AI and finally, the challenges for implementing AI in healthcare and how to resolve them.

Preview 00:54
+ Benefits of using AI
2 lectures 06:49

What are the benefits that can come to the patients as well as doctors/ providers, if they use AI in healthcare

Benefits of using AI
02:53
Benefits of using AI-Part-2
03:56
+ Sample Analysis
1 lecture 06:55

In this section, we will discuss two sample patients' situation and see how that situation can lead to different outcomes. We shall try to understand how AI intervention could have modified the outcomes in case of untoward developments.

Preview 06:55
+ Stages of AI application
2 lectures 09:25

In this lecture we will see at what stage(s), the AI can intervene and what will be the potential effects of intervention at that stage.

At what stage can we use AI?
06:04

In this lecture we will see at what stage(s), the AI can intervene and what will be the potential effects of intervention at that stage.

part-2
03:21
+ Data requirements
1 lecture 04:08

In this section we shall see what is the difference in data which is currently gathered about patient and the data that needs to be gathered to make AI interventions effective.

Data points for effective AI
04:08
+ AI modelling
1 lecture 03:23

In this section what are the theoretical types of AI models and then try to see how these theoretical models can be extended to apply them in healthcare situations.

AI models for healthcare
03:23
+ Assimilating the information
1 lecture 03:06

In this section we shall see who all are going to be affected when AI is implemented and how to bring all these stakeholders on to the same page for a better outcome.

Bring all stakeholders together
03:06
+ Challenges
1 lecture 03:59

In this section we shall see some commonly anticipated challenges in the potential implementation of AI and understand how to overcome those challenges.

Challenges
03:59
+ Assignment
0 lectures 00:00

Let's attempt a few questions to see if our understanding of AI utility in healthcare is adequate now.

Master Quiz
5 questions