respiratory data science - accurate data for successful diagnosis and quality care

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Respiratory data science Dr Julian Flowers, Head of Data Science, Public Health England. and Dr Simon Swift, Managing Director, Methods Analytics Ltd. 29 th May 2015

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Page 1: Respiratory data science - accurate data for successful diagnosis and quality care

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

Page 2: Respiratory data science - accurate data for successful diagnosis and quality care

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?

Page 3: Respiratory data science - accurate data for successful diagnosis and quality care

Content

• There is lots of information out there• Huge variation in service• What data science will bring next

Page 4: Respiratory data science - accurate data for successful diagnosis and quality care

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:

Page 5: Respiratory data science - accurate data for successful diagnosis and quality care

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

Page 6: Respiratory data science - accurate data for successful diagnosis and quality care

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:

Page 7: Respiratory data science - accurate data for successful diagnosis and quality care

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:

Page 8: Respiratory data science - accurate data for successful diagnosis and quality care

Information on population activity: Standardised rate of emergency admissions for COPD, by CCG

What is available now: 2

Source: Methods Stethoscope

Page 9: Respiratory data science - accurate data for successful diagnosis and quality care

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

Page 10: Respiratory data science - accurate data for successful diagnosis and quality care

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

Page 11: Respiratory data science - accurate data for successful diagnosis and quality care

So let’s follow that one and look at the top outlier.

See the 3 year trend!

Source: Methods Stethoscope

Page 12: Respiratory data science - accurate data for successful diagnosis and quality care

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

Page 13: Respiratory data science - accurate data for successful diagnosis and quality care

datagateway.phe.org.ukmethods.co.ukrespiratoryfutures.org.uk