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Planning for a personalised future
Professor Dame Sue Hill @CSOsue
Chief Scientific Officer for England
SRO for Genomics, NHS EnglandSeptember 2018
Planning for the future
Oct 2014: Five Year Forward View provides cross-system vision for future development of the NHS given the pressing system challenges (the three ‘gaps’)
“…The NHS needs to adapt to take advantage of the opportunities that
science and technology offerpatients, carers and those who
serve them…”
Identified areas for action include:• Harnessing technology to reshape care delivery• A step change in prevention• The need to exploit the information revolution
Jun 2018: Government announces a £20bn funding boost for the NHS subject to a 10-year Long Term Plan for the NHS
2
• Ambitions for improvement• Plans for delivery over 5 years
Other initiatives inc HEE Topol Review looking to inform future planning
Speeding the innovation pathway
3
Creation
• new things
• new ideas
• new techniques
• new approaches
Assessment
• new things
• new ideas
• new techniques
• new approaches
Uptake
• new things
• new ideas
• new techniques
• new approaches
Spread
• new things
• new ideas
• new techniques
• new approaches
Basic Research Applied Research Commissioning Patient Care
INVENTION EVALUATION ADOPTION DIFFUSION
It still typically takes 17 years for a technology to move from initial discovery to widespread adoption across the NHS
Key emergent technologies need to be identified and supported to speed implementation for patient benefit
The power of personalisation
4
Prompt, precise
diagnosis
Personalised interventions,
care & treatment
Proactive participation of patients
Prevention & predisposition
Next Gen Diagnostics inc Genomics & transcriptomics
Mobilising Patient info for Analysiseg Digital Pathology
Computing power & Artificial Intelligence
eg Machine Learning
Personalisation
Personalisation is central to the shift from illnessto health needed across health systems
Emerging technologies and techniques are making personalisation much more deliverable in practice
Emergent technologies: delivering on the future
5
• PHG report provides detailed evidence synthesis on key emergent technologies
• Need to build on existing foundations – such as the NHS Genomic Medicine Service – to achieve the wholescale transformation needed for personalisation
• Underpinning this there must be a series of significant cultural changes:
‒ of professionals within services, as delivery models change
‒ recognising the immense value of capturing data throughout a patients’ life course
‒ greater engagement of citizens as partners in their health
Achieving the vision – working beyond the health sector
6
• Achieving the full potential requires a new and more collaborative approach across innovators, academia,industry and – most crucially – with patients & citizens
• More than just technology – social, ethical, legal and economic considerations will play a central role
• Radical improvements in patient outcomes & driving prevention are within our grasp – this needs a truly learning health system, that learns from every clinical encounter and directly from patients themselves.
The personalised medicine technology landscape
Dr Mark Kroese
Director, PHG Foundation
PHG Foundation - about us
Health policy unit focused on emerging technologies and how they can improve personalised healthcare, responsibly
• Part of the University of Cambridge
• Active since 1997
• Located within the heart of the Cambridge biomedical hub
• Funded by philanthropy, grants, and commissioned work
@PHGFoundation
Personalised medicine is not new - all medicine is personalised to some
extent. Drivers for the growing personalisation of medicine include:
▪ Scientific advances and innovations in biomedical and digital
technologies and growing knowledge
▪ Developments in genomic sequencing technologies
▪ Leaps in computing
▪ Wider evolving health/innovation ecosystem & strategies:
• FYFV
• NHS Genomic Medicine Service
• Life Sciences Industrial Strategy
• Accelerated Access Review
Personalised medicine
What are the range of technologies
that could contribute to personalised
medicine?
What are the near-term opportunities
(up to 2020) to advance and realise
the benefits of personalised
medicine?
What are the key considerations and challenges to implementation?
The technology landscape
Report:
Chapters 6
Technology overview 25 broad areas
Digital revolution 7 significant dimensions
Near-term opportunities 7 areas reviewed in detail
Evidence base 24 expert discussants
Near-term & long view 53 key considerations
The technology landscape
The technology landscape
For greater molecular
level characterisation
For personalised
therapeutic interventions
For personalised disease
and health monitoring
Underpinning and
enabling
Technologies for personalisation
Areas reviewed in greater detail
What?
• Detects and analyses fragments of tumour DNA in the circulation
Why?
• Blood sample instead of a more invasive tumour biopsy
• Testing is more accessible
• Can repeat tests
• Could better capture tumour genetic variation
ctDNA liquid biopsy
Current:
• Companion diagnostic testing in non-small cell lung cancer
Future:
• Further companion diagnostic testing
• Monitoring relapse after treatment or emergence of treatment
resistance
Realising the benefits:
• Liquid biopsy is a fast evolving area. Supporting current testing will
provide the foundations to ensure that future uses are realised for
patient benefit as the technology matures
ctDNA liquid biopsy
What?
• Study of RNA and how genes are expressed in a cell, tissue, or sample at
a specific point in time
Current:
• Growing number of targeted gene expression tests for early detection,
prognosis and therapy targeting particularly for cancer
Realising the benefits:
• Health system should prepare to respond to emerging evidence around
gene expression tests, and consider how elements of existing ‘omics
infrastructure could be used
Transcriptomics
What? • Treatments which seek to replace, repair or regenerate the body’s cells,
tissues and organs. Report - focus on gene therapies (including gene editing)
and stem cell therapies
Why?
• Can offer novel treatment options including in rare diseases
• Potential curative or long-term treatments (one-off or infrequent)
• Autologous treatments - reduced risk of tissue rejection
• New opportunities for personalised cancer therapeutics using patients own
immune cells
Regenerative medicine
Current:
• Diverse range of therapies under development – from oncology treatments to
small-scale, trial-based rare disease treatments
• Numerous trials underway
• Two NICE approved stem cell therapies e.g. Holoclar for corneal repair. FDA
and EMA approval for some CAR-T therapies
Future:
• Number / range of therapies likely to expand in the coming years
Realising the benefits:
• National coordinated approach, with designated leadership to fully address
near-term and longitudinal planning needs, including infrastructure, workforce
training, regulatory structures, and methods for reimbursement
Regenerative medicine
Cross-cutting considerations
Enormous growth in the volume of data relevant to personalised
medicine
Digital infrastructure and analytical solutions are key to harnessing
this data, including:
• Continued drive towards digitisation of health records
• Digitisation of processes where appropriate to support advanced analytics
e.g. AI in histopathology
• Robust, scalable, secure and safeguarded computing systems
• Agile and flexible underpinning informatics solutions that can respond
rapidly evolving capabilities of digital health tech
High-throughput
‘omics data
Portable, handheld,
wearable, & mobile
health devices
Digital innovation & infrastructure
AuthorsDr Sobia Raza
Dr Laura Blackburn
Dr Sowmiya Moorthie
Dr Sarah Cook
Dr Emma Johnson
Dr Louise Gaynor
Project consultees Pages 182 -183 of the report
NHS England For giving us this opportunity to undertake this work
Acknowledgements
@PHGFoundation