Introduction to Digital health (Coursera)

Introduction to Digital health (Coursera)

This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These technologies are assessed in terms of the key opportunities and challenges to their use and the evidence of their effectiveness in the field of digital health in relation to public health and healthcare globally. The use and application of digital health for COVID-19 forms a case study demonstrating the use of different types of digital health technologies to address key aspects of the response to the virus globally.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 1 of 3 in the Digital Health Specialization

Syllabus

WEEK 1
Introduction to Digital Health
This module will introduce the key concepts and definitions in digital health. You will soon learn that it is a rapidly changing and emerging field. We will also ask for your thoughts early in this week about your own understanding of digital health. You will then be introduced to the growth in digital health technologies, the global distribution of these technologies and the inequalities that exist in terms of access to, and usage of, different forms of digital health technologies to include smartphones, social media and access to the internet. Given this introduction, you will then be introduced to key examples of how digital health projects have been implemented badly, with an example from the UK through the National Programme for IT (NPfIT) and examples of where it has been extremely successful, for example, Estonia.

WEEK 2
Electronic Health Records and Learning Health Systems
In this module, you will firstly be introduced to Electronic Health Records and will learn about what they are, how they have been used and the opportunities and challenges to their use. The focus will then turn to Learning Healthcare Systems, identifying the key components of a good Learning Health System, and analyse some examples of a Learning Health System through strong and weak examples. You will then hear from an expert working at the interface of statistics, data science, and digital health through his work on improving health care safety and quality. Interoperability, a key concept describing how data can be shared across health systems is examined. There will be a variety of learning activities including readings and interactive activities to complement your learning in this module.

WEEK 3
Introduction to Digital Health Technologies – Part I
In this module, you will start to be introduced to a range of digital health technologies and their use and application in public health and healthcare globally. The focus of this week will be on mobile applications, wearable technologies and health information systems. You will learn about what they are, examples of how they have been used and advantages and disadvantages to their use. You will also be provided with a real-world case study on the use of a mobile application for Ebola contact tracing and monitoring in Sierra Leone in 2015 during the Ebola epidemic and will be introduced to the opportunities and challenges of applying digital health technologies for epidemic preparedness and response. There will be a variety of learning activities to complement what you have learnt including readings and interactive activities.

WEEK 4
Introduction to Digital Health – Part II
In this module, you will be introduced to other digital health technologies such as telehealth and telemedicine, social media, machine learning, artificial intelligence, gamification and behavioural sciences and big data. You will explore these areas through videos, supported readings, reflective questions and interactive activities that assess the role, uses, advantages and disadvantages of these technologies in public health and healthcare globally. This builds on the digital health technologies that you learn about in the previous module.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Learn to code with AI (Coursera) Coursera
Scrimba

Learn to code with AI (Coursera)

Imagine waking up tomorrow as a web developer. What would you want to build? With AI tools like ChatGPT, you're already a developer, regardless of your experience, if you know how to work with them. So in this course, you'll build functional, interactive front-end projects while learning how to write effective prompts and debug and refine your code with the help of AI.

Jul 8th 2026
2 Weeks
Diagnosing Health Behaviors for Global Health Programs (Coursera) Coursera
Johns Hopkins University

Diagnosing Health Behaviors for Global Health Programs (Coursera)

Health behavior lies at the core of any successful public health intervention. While we will examine the behavior of individual in depth in this course, we also recognize by way of the Ecological Model that individual behavior is encouraged or constrained by the behavior of families, social groups, communities, organizations and policy makers. We recognize that behavior change is not a simplistic process but requires an understanding of dimensions like frequency, complexity and cultural congruity. Such behavioral analysis is strengthened through the use of a toolkit of theoretical models and practical frameworks.

Jul 6th 2026
4 Weeks
Water Supply and Sanitation Policy in Developing Countries Part 1: Understanding Complex Problems (Coursera) Coursera
University of Manchester

Water Supply and Sanitation Policy in Developing Countries Part 1: Understanding Complex Problems (Coursera)

Our course explores what can be done to solve the complex problem that half a billion people worldwide do not have improved water supplies and two billion do not have improved sanitation. We look forward to you joining us. We want to help you develop the skills you need to address this major global challenge of the 21st century.

Jul 6th 2026
5-12 Weeks
Public Health in Humanitarian Crises 1 (Coursera) Coursera
Johns Hopkins University

Public Health in Humanitarian Crises 1 (Coursera)

This course, Public Health in Humanitarian Crises 1, introduces discussions about the public health approach to problems experienced by people affected by disasters, both natural and related to conflict. The course discusses the many changes which occur in people’s lives when they are uprooted by a disaster, ranging from changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, etceteras. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters. The course content is a mix of theoretical knowledge and many practical examples from recent disasters. We think this course is unique because it contains so many practical ‘real-life’ examples and is taught by instructors and guest lecturers who together have over 200 years of experience in this field.

Jul 6th 2026
5-12 Weeks
Health Across the Gender Spectrum (Coursera) Coursera
Stanford University

Health Across the Gender Spectrum (Coursera)

This course offers an intimate, story-based introduction to the experiences of six transgender children and their families. Through illustrated stories and short teaching videos, learners will gain a better understanding of gender identity and the gender spectrum. Stanford physicians, K-12 educators, and transgender faculty members offer practical tips for parents, teachers, healthcare providers and anyone who wants to help create a more gender-expansive environment - one in which all people can live authentically. As a global community of unique individuals, we can begin to build a world that is ready to nurture and love each and every child.

Jul 6th 2026
3 Weeks
The Unix Workbench (Coursera) Coursera
Johns Hopkins University

The Unix Workbench (Coursera)

Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software can’t be mined out of the ground, nor can software seeds be planted in spring to harvest by autumn. Software isn’t produced in factories on an assembly line. Software is a hand-made, often bespoke good. If a software developer is an artisan, then Unix is their workbench.

Jul 6th 2026
4 Weeks
Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Jul 10th 2026
5-12 Weeks
Machine Learning With Big Data (Coursera) Coursera
University of California, San Diego

Machine Learning With Big Data (Coursera)

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Jul 6th 2026
5-12 Weeks
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud (Coursera)

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

Jul 6th 2026
4 Weeks
Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Jul 6th 2026
4 Weeks
Using Machine Learning in Trading and Finance (Coursera) Coursera
New York Institute of Finance,Google Cloud

Using Machine Learning in Trading and Finance (Coursera)

This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.

Jul 10th 2026
4 Weeks
Generative AI Essentials: Overview and Impact (Coursera) Coursera
University of Michigan

Generative AI Essentials: Overview and Impact (Coursera)

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

Jul 10th 2026
1 Week