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Understand how ethics, governance and regulation can guide the responsible use of AI in health research and healthcare.
This introductory course explores the ethical and governance foundations needed to use artificial intelligence responsibly in health research.
This introductory course helps make sense of artificial intelligence and machine learning in healthcare.
It explains the key concepts, vocabulary and types of problems AI can help address, while also clarifying what AI can and cannot do.
From code basics to smarter data manipulation: gain the R skills to work independently with health research data.
This module introduces you to the basics (and beyond) of the R statistical programming language, and gets you started working with it, in a health research context.
Learn how to use AI responsibly across the scientific research lifecycle, from planning and data analysis to communication and impact.
This introductory course explores how artificial intelligence can support scientific research in responsible and practical ways.
The EPSRC funded King’s Health Partners Digital Health Hub is a national, multidisciplinary resource designed to support training, collaboration, co-creation, acceleration and the translation of digital health technologies. It brings together healthcare, research, data, AI, MedTech and innovation to help people build the skills and connections needed to shape the future of health and care.
Our courses are designed for a wide range of learners, including (but not limited to) healthcare professionals, researchers, students, clinical and administrative staff, academics, innovators, industry partners and people working across health, care, data or digital technology. Whether you are just starting out or looking to strengthen existing skills, the Hub offers learning pathways that can support different levels of experience.
Each course has different pre-requisites. Some courses are designed for complete beginners, while others are aimed at people with prior knowledge of programming, statistics, bioinformatics or AI. Each course page explains the recommended background, so you can choose the right starting point and build your skills step by step.
The Digital Health Hub offers training across key areas of digital health, including artificial intelligence, data science, statistics, R, Python, machine learning, natural language processing, bioinformatics, high-performance computing, co-design, entrepreneurship, ethics and information governance. These topics are continuously expanding, and new courses and modules are updated and added to the catalogue regularly.
All training courses are asynchronous training courses, designed to be flexible and self-paced, allowing you to learn in a way that fits around your work, research or studies. Depending on the course, learning may include videos, readings, practical exercises, coding challenges, case studies, or workshops.
The Digital Health Hub helps you build practical skills, confidence and understanding in areas that are increasingly important across healthcare, research and innovation. Whether you want to work more effectively with data, explore AI, develop digital health solutions or collaborate with technical teams, the Digital Health Hub provides training and resources that can support your current role and future career pathways.
