Trustworthy AI for Healthcare Management from Coursera

This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.

The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI.

Participants will learn:

- How AI systems work and learn

- What tasks can be solved by AI

- Common challenges for AI in healthcare

- Fundamentals of Trustworthy AI

- How to assess Trustworthy AI

- How Trustworthy AI assessments look in practice

This course was developed by Goethe University Frankfurt as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.

PERISCOPE website: https://www.periscopeproject.eu/

What's inside

Syllabus

Introduction

Artificial Intelligence has the potential to drastically alter the healthcare sector. To maximize benefits and mitigate unintended negative consequences, the European Commission's High-Level expert group on Artificial Intelligence proposed a framework for Trustworthy Artificial Intelligence. This modules provides an overview on artificial intelligence in the healthcare sector, Trustworthy AI, and what topics the following modules will touch in more detail.

Introduction to Artificial Intelligence in Healthcare

The later modules in the course will expect some basic knowledge on artificial intelligence, which will be introduced in this module. The introduction will focus on very high level concepts and will be free of formulae. First, we will bring some clarification on the term "artificial intelligence" (or AI for short) and give a historical overview on how AI was applied in healthcare and how this application changed over time. We also go over possible applications of AI in healthcare, and show common challenges AI systems face. Finally, we will go over some of the ways AI systems can be made understandable to humans users.

Introduction to Trustworthy Artificial Intelligence

This module is an introduction to Trustworthy Artificial Intelligence. First, we will introduce the Ethics Guidelines for Trustworthy AI, especially the core ethical principles for trustworthy AI systems, and key requirements to implement them. Then, we will have a look at Z-Inspection®, a process to assess trustworthy AI in practice.

Case Studies of Artificial Intelligence in Healthcare

In this module, we will look at three different case-studies, to see examples of the application of AI in healthcare and how trustworthy AI assessments can look in practice.

Recap

In this module we recap the course content and give practical recommendations for the assessment and implementation of AI systems in healthcare.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on trustworthiness, which is a pressing topic that affects healthcare professionals, patients, and AI professionals

Taught by Marco Brambilla, a highly accomplished instructor in the field

Developed by Goethe University Frankfurt, a well-regarded institution

Applies the Z-Inspection® process for assessing trustworthy AI, providing practical insights

Covers the full spectrum of AI in healthcare, including its applications, challenges, and ethical considerations

Involves case studies that illustrate real-world applications of trustworthy AI in healthcare

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Trustworthy AI for Healthcare Management with these activities:

Write a blog post or article on a topic related to trustworthy AI in healthcare

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Enhance your understanding of the topic by researching and writing about it, and share your knowledge with others.

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Select a specific topic related to trustworthy AI in healthcare that you're interested in
Research the topic thoroughly using credible sources
Write a well-structured blog post or article that presents your findings and insights clearly
Publish your blog post or article on a relevant platform

Develop a trustworthy AI assessment process for your healthcare organization

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Develop a practical understanding of the principles and processes involved in assessing the trustworthiness of AI systems in healthcare.

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Identify the key ethical principles and requirements for trustworthy AI in healthcare
Develop a process for assessing the trustworthiness of AI systems based on these principles and requirements
Pilot the process on a real-world AI system used in your organization
Evaluate the results of the pilot and make necessary adjustments to the process
Implement the process across your organization to ensure the trustworthiness of AI systems used in healthcare delivery

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Career center

Learners who complete Trustworthy AI for Healthcare Management will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to analyze data and extract insights. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Data Scientists who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Machine Learning Engineers who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, build, and maintain software systems. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Software Engineers who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Software Engineer

Computer Scientist

Computer Scientists research and develop new computing technologies. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Computer Scientists who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Computer Scientist

Epidemiologist

Epidemiologists investigate the causes and spread of disease. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Epidemiologists who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Epidemiologist

Biostatistician

Biostatisticians use statistical methods to analyze data in the field of healthcare. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Biostatisticians who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Biostatistician

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, build, and maintain artificial intelligence systems. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Artificial Intelligence Engineers who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Artificial Intelligence Engineer

Public Health Scientist

Public Health Scientists research and develop new ways to improve public health. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Public Health Scientists who are working on AI systems in the healthcare sector.

See salaries and explore the career path for Public Health Scientist

Medical Ethicist

Medical Ethicists analyze and evaluate ethical issues in the field of healthcare. This course may be useful because it provides an introduction to the ethics of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Medical Ethicists who are working on ethical issues related to AI in healthcare.

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Healthcare Consultant

Healthcare Consultants provide advice to healthcare organizations on how to improve their operations and patient care. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Healthcare Consultants who are working with healthcare organizations on the implementation of AI systems.

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Policy Analyst

Policy Analysts develop and analyze policies for government and non-profit organizations. This course may be useful because it provides an introduction to the ethics of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Policy Analysts who are working on policies related to AI in healthcare.

See salaries and explore the career path for Policy Analyst

Healthcare Informatics Specialist

Healthcare Informatics Specialists use their knowledge of healthcare and information technology to design, implement, and maintain health information systems. This course may be helpful because it provides an overview of artificial intelligence in the healthcare sector, as well as the challenges and ethical considerations associated with AI in healthcare. This knowledge would be beneficial for Healthcare Informatics Specialists who are responsible for implementing and managing AI systems in healthcare organizations.

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Health Services Manager

Health Services Managers plan, direct, and coordinate the delivery of healthcare services in a variety of settings, including hospitals, clinics, and nursing homes. This course may be useful because it provides an overview of artificial intelligence in the healthcare sector, as well as the challenges and ethical considerations associated with AI in healthcare. This knowledge would be beneficial for Health Services Managers who are responsible for making decisions about the implementation and use of AI in healthcare organizations.

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Health Policy Analyst

Health Policy Analysts develop and analyze policies that affect the healthcare system. This course may be useful because it provides an introduction to trustworthy AI, which is increasingly being used to inform healthcare policy decisions. Additionally, the course covers topics such as the ethical implications of AI in healthcare, which are important considerations for Health Policy Analysts.

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Healthcare Data Analyst

Healthcare Data Analysts collect, analyze, and interpret data to help healthcare organizations improve the quality and efficiency of their services. This course may be useful because it provides an introduction to artificial intelligence, which is increasingly being used to analyze healthcare data. Additionally, the course covers topics such as trustworthy AI and ethical applications of AI, which are important considerations for Healthcare Data Analysts.

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Trustworthy AI for Healthcare Management

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