Digital Transformation and Innovation in Healthcare

Monday morning and afternoon sessions

Addressing the changing healthcare ecosystem, this module focuses on patient centred and consumer healthcare, the digitalisation of healthcare, and value-based healthcare. Module topics include digital-ready workforce planning, the role of data analytics in decision making, and patients’ engagement for improved outcomes.

Tuesday morning session

This module explores artificial intelligence (AI) and its role as a transformative innovation in diagnosis, imaging and triage in healthcare organisations. With its ability to learn from patient records and other data, you’ll explore AI’s potential uses in healthcare, along with the challenges and opportunities in terms of data privacy, algorithmic bias, and who opts in or out.

Tuesday afternoon session

Providing a broad base of knowledge on the relevant skills required to conduct a health needs assessment, this module considers approaches to health innovation, intervention development and evaluation. Supporting your learning, you’ll look at a range of case studies from the NHS and health organisations overseas.

Wednesday morning session

Giving you an introduction to health data analytics, this interactive module will show you how data science is being used to support public health agendas. You will gain an understanding of important tools in data science, such as visualising and mapping health data, the role of synthetic data and the emergence of digital twins.

Wednesday afternoon and Thursday morning sessions, includes site visits

This module enables you to see and hear the impact digital technologies have on population health management (PHM) through site visits. You’ll find out more about this data-informed approach, which can deliver personalised medicine while increasing the quality and volume of care in communities.

Thursday afternoon session

Focusing on patients and customers who can benefit from user-centred care, this module looks at the design options in consumer health technologies. Through engaging activities, you will understand health innovations and what the forecasts are for engagement with them. You will also learn how to evaluate the value of wearable health technologies through a user-centred approach.

Friday morning session

Providing an understanding of several key concepts for value assessment in digital health, this module looks at value-based healthcare and how digital innovation is contributing to growing healthcare costs. You will also explore decision-making behaviour in healthcare organisations and learn about sustainable health financing and funding mechanisms.

Friday afternoon session

After working on a group project throughout the course, you will present your project during this session. Your project will draw on your learning and group discussions from throughout the week, and through this session you will benefit from critiques by a panel of health experts. 

Charlotte Wu MD MSc is a primary care physician and clinician leader with extensive experience in strategy leadership and health technology with a unique cross-disciplinary background including medicine, digital health, quality improvement, UX, and product development. She is the founder of Harness Health Global, a healthcare consultancy focused on health system & technology innovation, empathetic design, implementation, and change management. She is also the Senior Executive Advisor for Clinical Innovation and Strategy at doxy.me, a leading global telemedicine solution serving >1 million clinicians.
 
She has served as the Vice President, Senior Medical Director for Virtual Primary Care at Teladoc Health, the Director of Adult Primary Care at Boston Medical Center, and has worked alongside digital health companies, governments, health delivery and non-profit institutions across the globe to achieve meaningful improvement in health experience and outcomes.

Charlotte has served as a faculty professor at Harvard University School of Medicine and Boston University School of Medicine.

She received her bachelors degree from Stanford University, her doctorate in medicine (MD) from Yale School of Medicine, completed a Faculty Innovation Fellowship with the Harvard Center for Primary Care and holds a Masters of Science in UX Engineering from the University of London Goldsmiths.

Cathy Holloway is Professor of Interaction Design and Innovation at UCL’s Interaction Centre and the Academic Director and co-founder of the Global Disability Innovation Hub (GDI Hub) which is part of a partnership which has grown out of the Paralympic Legacy and crosses traditional discipline boundaries to pool expertise to tackle the issues faced by society in realising the Sustainable Development Goals.

Cathy has recently created the new undiscipline of Disability Interaction (DIX) which takes an issue-based design approach, drawing on specific disciplinary methods as and when required to create solutions for disabled people globally. 

Cathy leads the Research and Innovation strands and is UCL PI for the of the £20m UK Department for International Development grant called AT2030. AT2030 is investing in a long-term solution to understand how we can develop a demand-driven ecosystem for AT which ensures innovations can quickly come to market globally. As part of this work Cathy leads the development of a new Inclusive Innovation ecosystem in Nairobi, Kenya whilst researching inclusive and innovation. Cathy is also working with colleagues from UCL Robotics and the Institute of Making to develop low-cost prosthetics and novel human-robot interactions which sue low-cost sensing.

Prior to joining UCL Cathy worked as a Research and Development Engineer for Medtronic. Cathy is also a Director and co-founder of two social enterprises – Movement Metrics and the GDI Hub Community Interest Company.

Pearse Keane is Professor of Artificial Medical Intelligence at UCL Institute of Ophthalmology, and a consultant ophthalmologist at Moorfields Eye Hospital, London. He is originally from Ireland and received his medical degree from University College Dublin (UCD), graduating in 2002. 

In 2016, he initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of developing artificial intelligence (AI) algorithms for the earlier detection and treatment of retinal disease. In August 2018, the first results of this collaboration were published in the journal, Nature Medicine. In May 2020, he jointly led work, again published in Nature Medicine, to develop an early warning system for age-related macular degeneration (AMD), by far the commonest cause of blindness in many countries. 

In October 2019, he was included on the Evening Standard Progress1000 list of most influential Londoners and in June 2020, he was profiled in The Economist. In 2020, he was listed on “The Power List” by The Ophthalmologist magazine, a ranking of the Top 100 most influential people in the world of ophthalmology.

Paula Lorgelly is a Professor of Health Economics in the Department of Applied Health Research at UCL and is programme lead for the MSc Global Healthcare Management programme here at the UCL GBSH. Paula leads the Health Economics theme in UCL's Populations and Lifelong Health Research Domain and is the leader of the Health Economics and Data Theme in the NIHR North Thames ARC.

Paula has over 20 years’ experience working in academia in the United Kingdom, Australia and New Zealand (including a visiting position in Germany) and the independent sector in the United Kingdom.

Whilst in Australia she was a member of the Economics Sub-Committee of the Pharmaceutical Benefits Advisory Committee (PBAC), and in this capacity provided advice on the effectiveness and cost-effectiveness of treatments seeking reimbursement on the Pharmaceutical Benefits Scheme.

Paula has worked across the health and medical spectrum and much of her clinical research has focused on oncology, particularly genomics and precision medicine. Her current research focuses on outcomes: comparing different HRQoL instruments, eliciting patient preferences and the use of outcomes in outcome-based payment or incentive schemes.

Paula is the national organiser of the UK Health Economists’ Study Group, an elected position. She is a member of the EuroQol Group, and on the Editorial Boards of the Journal of Cancer Policy and The Patient.

Professor Paul Taylor is Deputy Director of UCL’s Institute of Health Informatics and leads the UKRI Centre for Doctoral Training in AI Enabled Healthcare.

He holds a BSc in Psychology and MSc in Artificial Intelligence and a PhD Medical Physics from UCL. His research interests have focussed on the use of computer systems in clinical decisions, particularly in image interpretation including mammography and chest radiography. He was a co-investigator on a recent HTA project evaluating commercial machine learning software for the automated analysis of diabetic retinopathy images. He is the author of ‘From Patient Data to Medical Knowledge’, a textbook for health informatics.

Paul's research focuses on using software to improve clinical decision making. Most of the applications he's looked at in recent years concern medical imaging, including the use of AI in mammography, in retinal imaging and chest radiographs. He's interested in seeing how recent advances in the application of neural networks to medical imaging can be most effectively applied to improve the quality of clinical decision making.

David prides himself as being an inspirational leader, drawing on 25 years of operating in healthcare in the USA, Europe, Asia, Middle East and Australia.
Also working at EY, David prior to EY was a successful CEO of several multi-billion dollar healthcare organisations in Australia and the UK and is a current Non Executive Director.
Internationally with EY, David has led teams in health, life sciences, retail and Insurance sectors. Driving strategic reform, creating new business and operating models and orchestrating the adoption of new technology and innovation, whilst supporting start-up innovators and entrepreneurs.
David is an active commentator and speaker on Participatory Health, the empowered consumer and the shifts in health and wellbeing. 

Professor Rachel Dunscombe is CEO of the NHS Digital Academy, Principal at Tektology and strategic advisor to the NCA Salford NHS Group. 
She provides advisory services to the Secretary of State for Health in the UK, is the health care representative on the UK government AI council and is associate digital editor for the BMJ. 
Through her academic work Rachel has received a visiting professorship at Imperial College, London. 
Rachel is a non-executive director of the Digital Health Society and formerly the Director of Digital for Salford NCA Group which was the NHS’s most digitally mature organisation. She has led services to enable health delivery for hospitals, community services, social care, regions and at a national level.