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

Public Involvement in Research (Coursera) Coursera
Imperial College London

Public Involvement in Research (Coursera)

This course focuses on participatory approaches in research, known as 'public involvement' in the UK. You'll specifically, consider why citizens and patients would be involved in research and explore participatory approaches across and within the research cycle in more detail, diving into questions such as: What kinds of participation can be undertaken at each of the 7 stages of the cycle? How can you utilise participation in research? What examples of using participatory approaches exist in research?

Jun 24th 2026
4 Weeks
Machine Learning: Clustering & Retrieval (Coursera) Coursera
University of Washington

Machine Learning: Clustering & Retrieval (Coursera)

Case Studies: Finding Similar Documents. A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover?

Jun 22nd 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.

Jun 22nd 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.

Jun 22nd 2026
4 Weeks
Epidemiology: The Basic Science of Public Health (Coursera) Coursera
University of North Carolina

Epidemiology: The Basic Science of Public Health (Coursera)

Often called “the cornerstone” of public health, epidemiology is the study of the distribution and determinants of diseases, health conditions, or events among populations and the application of that study to control health problems. By applying the concepts learned in this course to current public health problems and issues, students will understand the practice of epidemiology as it relates to real life and makes for a better appreciation of public health programs and policies. This course explores public health issues like cardiovascular and infectious diseases – both locally and globally – through the lens of epidemiology.

Jun 22nd 2026
5-12 Weeks
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Jun 22nd 2026
4 Weeks
Training and Learning Programs for Volunteer Community Health Workers (Coursera) Coursera
Johns Hopkins University

Training and Learning Programs for Volunteer Community Health Workers (Coursera)

Volunteer community health workers (CHWs) are a major strategy for increasing access to and coverage of basic health interventions. Our village health worker training course reviews the process of training and continuing education of CHWs as an important component of involving communities in their own health service delivery. Participants will be guided through the steps of planning training and continuing education activities for village volunteers. The course draws on real-life examples from community-directed onchocerciasis control, village health worker programs, community case management efforts, peer educators programs and patent medicine vendor training programs, to name a few.

Jun 22nd 2026
5-12 Weeks
Recommender Systems: Evaluation and Metrics (Coursera) Coursera
University of Minnesota

Recommender Systems: Evaluation and Metrics (Coursera)

In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity, product coverage, and serendipity. You will learn how different metrics relate to different user goals and business goals.

Jun 22nd 2026
4 Weeks
Text Retrieval and Search Engines (Coursera) Coursera
University of Illinois at Urbana-Champaign

Text Retrieval and Search Engines (Coursera)

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.

Jun 22nd 2026
5-12 Weeks
Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Jun 22nd 2026
5-12 Weeks
Diabetes - the Essential Facts (Coursera) Coursera
University of Copenhagen

Diabetes - the Essential Facts (Coursera)

Across the world more than 420 million people are living with diabetes. Two thirds of these have not yet been diagnosed. When discovered late or managed incorrectly, diabetes can damage your heart, blood vessels, eyes, kidneys, and nerves, leading to disability and premature death. In fact, more people are dying of diabetes related diseases than of diseases as HIV/AIDS, malaria and tuberculosis combined. This course will provide you with an introduction to the most recent research in the field of prevention and treatment of diabetes as well as a broader understanding of the situation in different communities, rich and poor, across the world, where diabetes threatens public health.

Jun 22nd 2026
3 Weeks