Overview
The increasing adoption of digital technology has resulted in fundamental changes in many industries. Yet healthcare, which represents about 10% of global GDP, has lagged other sectors. This is about to change as big data and artificial intelligence will deliver improvements in diagnosis and treatment that will increase health care’s reach, efficiency, accuracy and reduce waiting time for patients.
Technological advances offer significant opportunities to improve healthcare and have the potential to deliver significant value for the NHS. This year’s Great Debate will provide an update on the latest technology advances to deliver these benefits.
Speakers
Rachel McCrindle, University of Reading
Human-Computer Interaction: A key factor in introducing technology to healthcare.
Rachel is concerned with research and teaching as well as engaging with industry on strategic systems and processes in her role in the Biomedical Engineering Department at University of Reading. She is concerned to enhance student’s softer skills such as creative thinking and critical evaluation alongside development of their technical knowledge in terms of software engineering and has developed innovative teaching methods to achieve this. She has a particular interest in Knowledge Transfer Partnerships between SMEs and the University and highlights the value that these can bring to all parties.
Lawrence P Petalidis, Chelsea and Westminster NHS Foundation Trust
Digital Health Innovation at the NHS Frontline: Transformation and reality checks.
Following a degree in biochemistry, neurodegeneration research for pharma and a PhD in molecular neuro-oncology, Lawrence had eleven years of experience in business development, sales, technical project management and innovation.
As Head of Innovation for CW+, the health charity for Chelsea and Westminster NHS Foundation Trust, Lawrence runs a grants programme supporting innovation, quality improvement and service transformation projects aiming to improve patient care and experience. Recent projects include heart failure patient monitoring, wearable and sensor pilots, medical device development, process and discharge digitisation and AR in surgery. Lawrence is a NICE specialist advisor, a NHS Navigator for the Digital Health London Accelerator, a partner for the Microsoft Accelerator and digital health advisor for West London CCG.
Richard Dybowski, Senior Research Associate, Cambridge University
Using AI to improve clinical effectiveness.
Richard is a mathematician, statistician and computer scientist in the Disease Dynamic Unit at University of Cambridge. Following a degree in Chemistry he undertook a PhD in statistical and computational chemistry (the computational chemistry of endocrine metabolites) and then undertook statistical research into a variety of medical areas, including microbiology, intensive care and ophthalmology at St Thomas’ Hospital/King’s College London. He has also taught artificial intelligence (AI) at the University of East London.
His research interests at Cambridge University lie within the areas of (a) stochastic models of biomedical phenomena, (b) machine learning (particularly deep learning), and (c) normative clinical reasoning
Helen Meese, Managing Director, The Care Machine Ltd
Ensuring new technologies are introduced effectively and safely.
Helen is an Electro-Mechanical Power Engineer with over 20 year of experience in both academia and industry. Her academic career was spent at Loughborough University researching turbocharger performance characteristics and developing electrical defence systems for armoured vehicles. Helen joined IMechE Head of Healthcare at the Institution of Mechanical Engineers. She worked on behalf of the Institution’s members, managing its programme on medical technology and infrastructure across all aspects of health and social care, focusing on its impact on UK and global communities. She is now working in a consultancy delivering consultation and thought leadership through multi-media channels on all aspects of technology in healthcare as well as being a Trustee at IMechE.
The material presented has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Thames Valley Member Group. The information is given in good faith but without any liability on the part of IChemE.