An artificial intelligence system diagnosed a rare type of cancer in a woman, saving her life. The document discusses the history of the NHS and how AI can help meet healthcare challenges through improved diagnostics, personalized medicine, cost savings, and better management of hospital bed capacity. It also covers examples of current AI uses in healthcare, opportunities and challenges around data privacy and regulation, and a call to action to embrace AI's potential to transform how the NHS delivers care.

1. AI Saves Woman’s Life
Eye of Science/Science Photo Library
Artificial Intelligence
Diagnosis of Rare Cancer

3. The value proposition in
disrupting our current model is
enormous.

4. Artificial Intelligence in Healthcare
Dominic Cushnan, Social & Digital Transformation,
Horizons, NHS England

5. We have more
pilots than BA
https://www.theguardian.com/healthcare-network/2011/may/12/christine-connelly-nhs-more-pilots-british-airways

6. NHS History
July 5 1948 – The NHS is born.
Health secretary Aneurin Bevan

7. NHS History
1953 – DNA structure revealed

8. NHS History
1968 – World's first heart transplant

9. NHS History
• 1972 – CT scans revolutionise the
way doctors examine the body

10. NHS History
2002 - First successful gene therapy

12. Ageing
population
https://www.gov.uk/government/uploads/system/uploads/attachme
nt_data/file/535187/gs-16-10-future-of-an-ageing-population.pdf

13. • The budget for the NHS in England for 2016/17 is £120 billion
• Savings needed by 2020 of £22 billion

14. How can AI help
hospitals manage
their bed capacity
better?

15. How AI can meet the challenges in healthcare
• Diagnostics
• Self management
• Personalised medicince
• Genomics programme
• Cost savings
• Service improvement (eg google electric saving costs)

16. Examples of AI today in health
Sensely
Deepmind Moorfields
PHE Breastfeeding Chatbot

17. Paul Maubach, Chief Executive Officer, Dudley CCG said:
“Dudley CCG recognises the opportunity that new technologies
present. Our health and care system must harness this if we are
to meet the challenges that we face. For many people using
smartphone health apps is already a way of life and this is a
natural progression for us to aid access to services and meet
demands. We are excited to be working with innovators such
as Sensely to build the technology landscape for the future of
health and care."
SENSELY AND DUDLEY CCG

20. Giving more
time to the
caring
Care
Compassion
Competence
Communication
Courage
Commitment

21. Data/Privacy/Regulation
• Deepmind fall out of working with NHS Royal Free Trust London
• Differing platforms for where records are kept
• We have to get staff on board – culture change

22. • What are the ethical implications of a world where algorithms are
making medical decisions?
• What does this mean for legal liability and regulation?
• What new skills and knowledge will the people working in healthcare
need?
• What do patients want and who is going to be in control?
• Who is going to own and profit from this?
• What are the implications for how we collect and use sensitive
healthcare data?

23. Systems leaders can only progress at the speed of trust

24. Call to action
• Just like the formation of the NHS required a radical shift in how
healthcare is being delivered
• AI needs us to rethink about how NHS delivers its care.
• We must tell a narrative about the opportunity, collaborate, build
trust, taking what’s happening in private and implementing in public
services.
• Sharing good practice
• Use this to improve our public services for us all

25. Thank you
dominic.cushnan@nhs.net
Twitter: @domcushnan