AI for Healthcare: Equipping the Workforce for Digital Transformation

Posted 5 years ago by The University of Manchester

Duration : 5 weeks
Study Method : Online
Subject : Healthcare & Medicine
Overview
Learn how artificial intelligence is transforming healthcare, and how it could support the work of healthcare professionals.
Course Description

Expand your digital skills and become a champion for ethical AI

Artificial intelligence is transforming healthcare systems around the world. From streamlining workflows to making more precise diagnoses, the benefits of AI for healthcare are numerous. But with those benefits come logistical, ethical, and financial challenges.

The University of Manchester has partnered with Health Education England to bring you this course exploring the issues and opportunities of AI in healthcare.

Over the five weeks of the course, you’ll look at a range of real-world examples of how AI is used in radiology, pathology, nursing, and other areas.

Understand the possibilities of AI for healthcare

The course will start by introducing the context of AI in healthcare.

You’ll learn what AI is, how it could benefit the healthcare sector, and who’s driving efforts to harness AI for public health.

Explore logistical and ethical challenges around data use and AI

After examining the potential uses of AI in healthcare, you’ll explore the challenges that come with them.

In Weeks 3 and 4, you’ll look at some potential problems and solutions relating to the use of data and AI in various areas of the healthcare sector.

Upskill and help build a digitally literate workforce

As well as an understanding of current AI technology, you’ll gain the digital skills you need to incorporate it into your own practice.

By the end of the course, you’ll be a digitally literate member of the healthcare workforce, ready to contribute to the future of health AI.

This course is designed for health and social care professionals in the UK. It will also be relevant to non-UK healthcare professionals who want to learn more about general issues, challenges, and opportunities surrounding the use of AI in all healthcare systems.

Finally, the course provides useful knowledge for anyone interested in emerging professional uses of AI. This may include clinical data scientists, medical software engineers, digital medicine specialists.

Requirements

This course is designed for health and social care professionals in the UK. It will also be relevant to non-UK healthcare professionals who want to learn more about general issues, challenges, and opportunities surrounding the use of AI in all healthcare systems.

Finally, the course provides useful knowledge for anyone interested in emerging professional uses of AI. This may include clinical data scientists, medical software engineers, digital medicine specialists.

Career Path
  • Describe the benefits and challenges of Artificial Intelligence (AI) in healthcare across the broader spectrum of the health sector
  • Explore the concepts, ethical principles and approaches of AI within healthcare
  • Investigate the challenges and opportunities of data in healthcare to transform patient care
  • Explore the roles, teams and skills required to enable AI in healthcare
  • Apply learning to authentic and practice-based case studies which look at a range of applications of AI
  • Develop current practice, skills and knowledge to support recommendations from the Topol Review
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