Respiratory data science
Dr Julian Flowers, Head of Data Science, Public Health England.and
Dr Simon Swift, Managing Director, Methods Analytics Ltd.
29th May 2015
Making best use of existing dataData + analysis + visualisation
Big data – opportunities in health dataLinkage, care.data
Big data – other data setsPollution, NHS choices, lung age, apps etc
4 VsVolume, variation, velocity, veracity
Data quality is a big issue BUT insight possible, feedback necessary, incentives to improve needed
What is data science?
Content
• There is lots of information out there• Huge variation in service• What data science will bring next
What is available now: 1
Information on mortality from respiratory disease:• ONS recently published a large dataset on deaths by cause since 2000:• This is visualised here https://public.tableau.com/profile/musicwallaby31#!/
vizhome/Deaths_century/Dashboard6 • Total deaths from respiratory disease are static =>Rates are decliningAsthma deaths are decreasing
Source:
Practice profiling• (Yes we know it’s a lot of QOF) but…for example, practices which
assess OPCD patients better also assess asthma patients better
What is available now: 2
We created INHALE to try and pull together population based publicly available information about COPD and asthma into a single site:http://fingertips.phe.org.uk/profile/inhale
Source:
What is available now: 2
INHALE went some way to pulling together population based publicly available information about COPD and asthma into a single site:http://fingertips.phe.org.uk/profile/inhale
Source:
Information on population activity: Standardised rate of emergency admissions for COPD, by CCG
What is available now: 2
Source: Methods Stethoscope
What is available now: 3
Information on provider processes: Emergency re-admission rate at 30 days for patients admitted in an emergency for COPD
Source: Methods Stethoscope
There is huge variation: 1
Source: Methods Stethoscope
Variation: In hospital crude mortality rate following admission for COPD
National range 8.4 to 71.7 deaths per 1,000 admissions Over 8 fold variation
So let’s follow that one and look at the top outlier.
See the 3 year trend!
Source: Methods Stethoscope
The future
• Patient specific• Personalised predictive risk of exacerbation alert on your phone?
• Public health• Crowd source data to understand variation in population lung age and
understand factors causing this variation
datagateway.phe.org.ukmethods.co.ukrespiratoryfutures.org.uk
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