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Can AI save the NHS?
- 1. 01 Edge Health Can AI save the NHS today? George Batchelor March 2018
- 2. 2 Good to be at the bottom?!
- 3. • Context • Opportunity? • Challenges… • What’s achievable today 3 Outline
- 4. 4 Examples where AI is being used in society
- 5. 5 AI: the hope / fear
- 8. 8 The challenges - infrastructure VS.
- 9. 9 The challenges - judgement VS.
- 10. 10 Can data / technology do something for the NHS?
- 11. • Last minute cancellations, or patients going to surgery at risk • Biggest controllable factor impacting critical care congestion is scheduling • Different surgeons / departments not being aware of others • Degree of predictability • Requires data collected before surgery 11 Example 1: Managing critical care capacity
- 12. • Bed capacity not lined up to demand, which created bottleneck for elective care • Many bed plans, few bed movements • Complexity and politics of hospital operations • 10 weeks from plan to changes • 2nd highest A&E results, elective program performing 12 Example 2: Reconfiguring hospital beds
- 13. • Theatre usage… • Complex • Admin issues? • Avoidable with right information in advance 13 Example 3: Improving theatre productivity with machine learning
- 14. • Role of AI often overplayed • … but huge advances happening across the world • Lots of complexity in applying AI to health, particularly where judgement is needed and data could be better • … but opportunity to use data to improve admin – help to stop wasting your time! • Some successes, but lots more to do! • Importance of clinical buy-in 14 Summary
- 15. 15 … • 1998 • Don’t get into stranger’s cars • Don’t meet people on the internet • 2018 • Summon strangers from the internet to get into their car
- 17. Edge Health info@edgehealth.co.uk www.edgehealth.co.uk © Edge Health Ltd 2017 Edge Health’s vision is to transform the NHS by combining engagement with economics and data science to produce robust outputs for our clients. It has been built by founders that share this vision from their years of working in the health sector and seeing what can be achieved. In delivering this vision, we understand the importance of maintaining the confidentiality of our clients’ proposals, plans and data. To support this we have a range of internal procedures and regular internal audits to make sure these are being followed. We ask in return that our proprietary analysis, approaches, insights, and methodologies are protected by our clients.
- 19. 0 1020304050 Beds 01jul2012 01jan2013 01jul2013 01jan2014 01jul2014 01jan2015 Date Actual Simulated - max LoS = 14 Occupied beds - stroke
Editor's Notes
- Dave vs Baymax
- Anger at parking tickets? What about systematic sub-optimal care for stroke patients…. Due to annual skiing holidays?