Innovation Scholars

The Innovation Scholars programme provides flexible and modular training in big data and artificial intelligence (AI). The programme is aimed to upskill health care professionals, researchers, and industry partners in their ability to use and apply big data in their work and research. The training is grouped into three pillars:

• Health Data Science exploring electronic data records;
• Omics harnessing genetics and molecular data collected in online databases;
• Artificial Intelligence extracting knowledge from large-scale data and applying AI to improve patient care.

To view additional partners who have also received Innovation Scholars funding from the UKRI to deliver data training across academia, industry and healthcare, see below.

Value-Driven Innovation

Coming soon

Shape the Future of Healthcare

The Value Driven Innovation programme offered by King’s College London and delivered at the newly inaugurated London Institute for Healthcare Engineering will equip professionals with the necessary entrepreneurial skills to shape the future of healthcare. Led by Professor Prashant Jha, and taught by practitioners, innovators, engineers, product developers and data-scientists this two-week course trains you to co-create affordable technologies that
are accessible and affable.

The course is designed to help you understand the process of getting inspired by healthcare problems and working with stakeholders at different levels to design solutions that impact the delivery of care.

The programme is designed to make you rethink the entire value proposition from start to finish using a unique 5-D approach (Discover-Define-Design-Develop-Deploy).

Co-Design for Digital Health

We offer an open access, online co-design course which will provide training and information on co-design tools and methods that can help you throughout all phases of your digital health project. This course is supplemented by an online methods library, where we share further insights into co-design methods. The library can be accessed independently to the training module and is also open access. In addition to these two online resources, we provide a support service to guide you in the selection and application of these co-design tools, methods and mindsets. This service is available online and in-person at the London Institute for Healthcare Engineering.

What do these resources include?

Three offerings:

• Co-Design for Digital Health course – Six 20-minute sessions, exploring the foundations of co-design, the Double Diamond framework, and the methods and tools needed to take your co-design project from discovery to delivery

• Co-Design Methods Library –  Additional free, online resources describing specific co-design methods and tools, including how-to guides and case studies.

• Co-Design Support Service – Direct support and advice from the Co-Design team, delivering consultations, workshops, group activities, and additional guidance on your specific co-design projects.

Entrepreneurship in Digital Health

Building on the success of the King’s Entrepreneurship Institute, a 3-part interactive programme will be offered, delivered digitally, on how to succeed as an entrepreneur in digital health. This will cover:

• Disruptive Thinking – for people who are pre-idea.
• Compelling Communications – pitching, how to talk about value to people outside your specialism.
• Growth Mindset – learning from failure, moving through ambiguity and how to think about risk.

Introduction to Data Science for Healthcare Professionals

Explore the possibilities, concepts, and requirements of working with or alongside big data in the healthcare sector.

This course is designed for healthcare professionals with no experience in data science but whose job roles require them to work alongside or lead teams dealing with data science.

It’s suitable for professionals working in both clinical and non-clinical roles including scientists, management, clinicians, nurses, and pharmacists who have access to and manage data projects or large amounts of data.

Healthcare Software Development

Coming soon

Hub For Applied Bioinformatics (HAB) 

Bioinformatics is integral to the success of contemporary life science research. Increased interest in bioinformatics has led to a surge in demand for training opportunities that can enable them to perform their analyses or effectively collaborate with specialists in the field. 

At the HAB we offer a comprehensive training program including online and in person training, satisfying the need for self-paced learning while also facilitating networking and knowledge expansion through interactive sessions.  In person training sessions (workshops and data clinic) will provide the opportunity to practice with an instructor and ask specific questions.  

Our workshops cover a wide variety of topics ranging from the popular scripting languages that are commonly used in Bioinformatics to the analysis of biological data. Our workshops are targeted to beginners, intermediate, and more advanced users. 

The HAB also caters for Internal Engagement activities in the form of seminars and data clubs around research workstreams and different applications, giving students the opportunity to share their knowledge and peer learning that have proven invaluable in fostering a collaborative environment for PhD students, postdocs and staff at King’s. 

E-research

The mission of e-Research is to help enable and facilitate computational and data-intensive research across King’s Faculties.

e-Research runs training courses to teach fundamental scientific computing skills that will help users effectively use the resources we provide. These include introductory courses on how to use the command line and how to use the CREATE HPC, introduction to programming in Python and R, and more advanced topics like version control with git. In the future we aim to also offer intermediate programming courses covering topics like unit testing, continuous integration, and creating software packages. Our workshops use a mixture of custom training materials we have developed and existing training materials created by groups like The Carpentries.

Our training workshops are advertised through our mailing list, which you can join via the e-Research Portal. We can sometimes offer workshops for a specific group or department, or develop new training materials to meet a specific need – get in touch via support@er.kcl.ac.uk for more information.

KHP Learning Hub

King’s Health Partners provides excellent education and training for healthcare professionals, students and support staff.

With over 40,000 staff and 30,000 students, King’s Health Partners Academic Health Sciences Centres is one of the largest centres of healthcare education and training in Europe. Its partner organisations are King’s College London and Guy’s and St Thomas’, King’s College Hospital, and South London and Maudsley NHS Foundation Trusts. The Learning Hub is an online education and training resource that has been created to provide the highest standard of online learning for healthcare professionals. Registered users can access learning materials covering a range of healthcare disciplines, from children’s health, to pharmacy or cancer.

The Learning Hub has been designed as a resource which users can come back to throughout their careers. Learning materials are designed to highlight and share best practice for the benefit of patients.

EPSRC Digital Health Hubs

EPSRC (Engineering and Physical Research Council) and UKRI (UK Research and Innovation) have invested in five digital health hubs that will drive the development of innovative digital technologies for healthcare.

The hubs will provide an environment to network and collaborate, provide training and other skill-sharing initiatives and have funding available for pilot studies in digital health and care.

The King’s Health Partners Digital Health Hub is an accessible national multi-disciplinary resource which supports training, co-creation, translation and the acceleration of digital health technologies. More information on this hub, as well as the other four, can be found below.

• King’s Health Partner (KHP) Digital Health Hub, led by Professor Sebastien Ourselin, King’s College London
• Digital Health Hub for Antimicrobial Resistance, led by Professor Rachel McKendry, University College London
• The South Yorkshire Digital Health Hub, led by Professor Tim Chico, University of Sheffield
• Northern Health Futures (North Futures) Hub, led by Professor Abigail Durrant, Newcastle University
• The Leadership Engagement Acceleration and Partnership (LEAP) Digital Health Hub Partnership, led by Professor Ian Craddock, University of Bristol

HDR UK

Health Data Research UK (HDR UK) – they are the UK’s national institute for health data science. They are uniting the UK’s health data to enable discoveries that improve people’s lives. Their vision is that every health and care interaction and research endeavour will be enhanced by access to large-scale data and advanced analytics.

They provide training and learning opportunities to develop health data scientists with cutting-edge skills for careers at the forefront of a rapidly evolving sector.

Their emphasis is on training with a clear, immediate impact and on creating a diverse and representative workforce.

King’s Clinical Academic Training Office (KCATO)

The King’s Clinical Academic Training Office (KCATO) offers advice, best practices, and information on navigating a clinical academic career. They aim to assist with the design and delivery of training and development for all health professionals across all stages of their research careers. Their ambition is to build a thriving pipeline of research-active professionals across all health disciplines. KCATO is open to all health professionals based at any of the organisations within King’s Health Partners – including KCL, Guy’s and St Thomas’s, King’s College Hospital, or South London and Maudsley NHS Trusts.

Health professional researchers are required to balance the pressures of delivering clinical services with performing academic research, as well as teaching and training. KCATO provides trainee-centred guidance and signposting to opportunities to help clinical academics navigate the complexities of the career pathway. They hope to see King’s clinical academics emerge as highly skilled clinicians delivering globally impactful research, while also serving as inspirational role models for the next generation of researchers.

Health Sciences Doctoral Training Centre (HSDTC)*

The Health Sciences Doctoral Training Centre (HSTDC) supports the scientific and professional training needs of researchers throughout their degrees.

Funded through King’s College London and aligned with the college’s vision, the centre focuses on providing world-class research education across the health sciences. It aims to establish a culture of mentorship and professional development training, relevant to each of the more than 2,000 doctoral researchers in the four Health Faculties at King’s, irrespective of funding stream.

The HSTDC offers a wide range of opportunities in research, professional, and career development skills through various approaches, including in-person sessions, online sessions, workshops, and self-study tutorials, along with access to a broad range of digital resources.

*Resources currently only accessible to those with King’s credentials.

King’s Institute for Artificial Intelligence

The King’s Institute for Artificial Intelligence unites the diverse and expanding AI community at King’s College London.

King’s distinctiveness lies in its strong focus on interdisciplinarity and multidisciplinarity, offering a unique context that is increasingly recognised as essential for success in AI. As highlighted by the UKRI AI Review, creating the right environment for AI advancement requires “promoting interdisciplinarity and cross-sector working.” At King’s, AI work spans every faculty across the university, covering core AI (its technical foundations), its applications, and the societal implications.

Launched in 2022, the King’s Institute for Artificial Intelligence aims to establish a coherent and visible AI presence at the university, foster networking and collaboration across the King’s AI community, and serve as a central hub for both internal coordination and external partnerships.