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Big Data for security and Resilience
Challenges and Opportunities
John Parkinson
Ethics and Politics in Big Data
Health Data
CPRD
Clinical Practice Research Datalink
john.parkinson@cprd.com
Medicines
Devices
CT
Regulator
Biologics
Standards
& Controls
More dimensions
to data
PHE
NHSE
HSCIC
CPRD
Research
Surveillance
BI
Unlocking the potential of
NHS Patient Data in Research
Observational & Interventional
OTHER
The Power of the
54 million
in the NHS…with
25 years of coded data
Big data is high volume, high velocity, and/or high variety information
assets that require new forms of processing to enable enhanced
decision making, insight discovery and process optimization
Data Mining( hypothesis generation)
Hypothesis Strengthening
Hypothesis Testing
BIG
Truthful
Results
BIG
Truthful, Powerful
Results
Ethics
Linkage
Security
SCIENCE
Risk based approach
Big Health
Data Cycle
Transform
Data
Instance it
Listen, Hear
Deliver
N of 1
From the BIG
NHS Datasets
Social
Care
Data
Local
Data
Disease
Reg.
5
NHS Audits
40 Granularity
100%
I o Care
8500Practices
8LRNs
%
Very
detailed
Coded
record
2 o Care
HES
+Rx
100%
ICD10
OPCS4
Drugs
Lab Path Microb.
Death
Birth
Demography
100%
National central
Data - ONS
Environ.
Air Poll.
Club Card
Data
?
Linkage on NHS#
And Or
PC, sex, DOB
Approved
Researchers
Clinical
Trials
Biosample
PROs
Consented
100%
PHE
Cancer
BINOCAR
Genetic data
Digital path. data
Triple linkage- MI -17,964n
BMJ paper May 21st 2013
3188
CPRD
13380
74.5%
MINAP 9438, 52.5%
HES 11998, 67.9%
3532
5561
1806
12901099
1488
GPRD- Clinical Record
Liveflag Audit seq O per. ID sys date sys tim eClintype ClinID Patient Id Consulation ID Topic Category Staff ID Event date End dateinpractice Private M edcode Data1 data2
2 4732314 000p 20050404 142154 000s 0?O e 01aE 3qDi 1 SED002 000m 20050404 Y N 246..00 70 148
1 4732337 000p 20050404 143202 000s 0?O e 01aE 3qDi 1 SED002 000m 20050404 Y N 246..00 70 148
1 4732613 000@ 20050404 151722 000s 0?O f 013O 3qEn 1 SED002 000A 20050404 Y N 246..00 105 200
1 4732660 000@ 20050404 154024 000s 0?O g 00Zz 3qEv 1 SED002 000A 20050404 Y N 246..00 90 174
1 4733221 000@ 20050404 173149 000s 0?O h 03EG 3qG F 1 SED002 000A 20050404 Y N 246..00 71 146
1 4733312 000@ 20050404 181118 000s 0?O i 00eL 3qG P 1 SED002 000A 20050404 Y N 246..00 95 146
1 4734735 000A 20050405 85938 000s 0?O j 02gL 3qIS 1 SED002 000@ 20050405 Y N 246..00 80 140
1 4734759 000@ 20050405 90422 000s 0?O k 01a@ 3qIP 1 SED002 000A 20050405 Y N 246..00 78 122
1 4734762 000m 20050405 90434 000s 0?O l 00ov 3qIU 1 SED002 000j 20050405 Y N 246..00 85 155
1 4734820 000A 20050405 90905 000s 0?O m 02NI 3qIZ 1 SED002 000@ 20050405 Y N 246..00 90 160
1 4734829 000N 20050405 90948 000s 0?O n 02wM 3qIV 1 SED002 000B 20040730 Y N 246..00 61 123
1 4734842 000m 20050405 91143 000s 0?O o 02XG 3qIb 1 SED002 000j 20050405 Y N 246..00 100 155
1 4734844 000m 20050405 91158 000s 0?O p 02XG 3qIb 1 SED002 000j 20050404 Y N 246..00 102 153
1 4734849 000m 20050405 91222 000s 0?O q 02XG 3qIb 1 SED002 000j 20050404 Y N 246..00 108 156
2 4734930 000Q 20050405 92235 000s 0?O r 01JH 3qIj 1 SED002 000B 20050405 Y N 246..11 78 140
1 4734932 000m 20050405 92313 000s 0?O s 00Uu 3qIi 1 SED002 000j 20050405 Y N 246..00 75 118
1 4734955 000N 20050405 92711 000s 0?O t 01wo 3qIn 1 SED002 000@ 20041013 Y N 246..00 76 140
1 4734960 000Q 20050405 92745 000s 0?O r 01JH 3qIj 1 SED002 000B 20050405 Y N 246..11 78 140
1 4735043 000h 20050405 94227 000s 0?O u 01bm 3qIu 1 SED002 000e 20050405 Y N 246..00 70 120
1 4735087 000m 20050405 94500 000s 0?O v 039n 3qJ0 1 SED002 000j 20050405 Y N 246..00 80 130
1 4735131 000@ 20050405 95000 000s 0?O w 001R 3qJ3 1 SED002 000A 20050405 Y N 246..00 81 124
1 4735142 000h 20050405 95232 000s 0?O x 01cH 3qJ7 1 SED002 000e 20050405 Y N 246..00 60 110
1 4735224 000N 20050405 101052 000s 0?O y 00Ny 3qJ9 3 SED002 000B 20050315 Y N 246..00 80 130
1 4735297 000m 20050405 101935 000s 0?O z 01wo 3qJL 1 SED002 000j 20050405 Y N 246..00 85 160
1 4735316 000h 20050405 102047 000s 0?P0 01lN 3qJK 1 SED002 000e 20050405 Y N 246..00 70 110
1 4735346 000N 20050405 102343 000s 0?P1 005p 3qJM 3 SED002 000A 20050307 Y N 246..00 66 109
1 4735352 000N 20050405 102429 000s 0?P2 005p 3qJM 3 SED002 000A 20050307 Y N 246..00 64 105
1 4735353 000Q 20050405 102434 000s 0?P3 01SU 3qJR 1 SED002 000A 20050405 Y N 246..11 80 130
1 4735357 000A 20050405 102446 000s 0?P4 00Ul 3qJT 1 SED002 000@ 20050405 Y N 246..00 80 140
2 4735400 000@ 20050405 102954 000s 0?P5 02kD 3qJU 1 SED002 000A 20050405 Y N 246..00 103 147
100 million “active years” of data
(all England one Billion)
100 billion is total number ever born/lived
Medical codes 107,000
Product codes 59,000
3 Terbytes of data *6 at any one time
180 TBs in total for UK would be 2 Petabytes
Clinical Trials
Phase 3 to Real World
Trial viz
N
Practice Filters- Post Code, LRN, CLRN, AHSN Options Modify
CPRD Trialaviz showing where the patients are by “large population” regions
CPRD Trialaviz viewer provides for a random series of patients who meet set criteria there record in two views-
across a number of years and then magnified to a daily basis. In this case a further magnification of 1o therapy
events shows what was prescribed. Any event can be hover over to understand the journey of care.
Population
The Power of the
54 million
with real time
fast query capability
auto run capability
algorithmic capability
Mean Blood Pressure
Mean LDL
Fever/ microbiology
Mumps
Thanks
john.parkinson@cprd.com

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CBO’s Recent Appeals for New Research on Health-Related Topics
 

John Parkinson - Ethics and Politics in Big Data Health Data

  • 1. Big Data for security and Resilience Challenges and Opportunities John Parkinson Ethics and Politics in Big Data Health Data CPRD Clinical Practice Research Datalink john.parkinson@cprd.com
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  • 5. Unlocking the potential of NHS Patient Data in Research Observational & Interventional OTHER
  • 6. The Power of the 54 million in the NHS…with 25 years of coded data Big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization
  • 7. Data Mining( hypothesis generation) Hypothesis Strengthening Hypothesis Testing
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  • 11. BIG Truthful, Powerful Results Ethics Linkage Security SCIENCE Risk based approach Big Health Data Cycle Transform Data Instance it Listen, Hear Deliver N of 1 From the BIG
  • 12. NHS Datasets Social Care Data Local Data Disease Reg. 5 NHS Audits 40 Granularity 100% I o Care 8500Practices 8LRNs % Very detailed Coded record 2 o Care HES +Rx 100% ICD10 OPCS4 Drugs Lab Path Microb. Death Birth Demography 100% National central Data - ONS Environ. Air Poll. Club Card Data ? Linkage on NHS# And Or PC, sex, DOB Approved Researchers Clinical Trials Biosample PROs Consented 100% PHE Cancer BINOCAR Genetic data Digital path. data
  • 13. Triple linkage- MI -17,964n BMJ paper May 21st 2013 3188 CPRD 13380 74.5% MINAP 9438, 52.5% HES 11998, 67.9% 3532 5561 1806 12901099 1488
  • 14. GPRD- Clinical Record Liveflag Audit seq O per. ID sys date sys tim eClintype ClinID Patient Id Consulation ID Topic Category Staff ID Event date End dateinpractice Private M edcode Data1 data2 2 4732314 000p 20050404 142154 000s 0?O e 01aE 3qDi 1 SED002 000m 20050404 Y N 246..00 70 148 1 4732337 000p 20050404 143202 000s 0?O e 01aE 3qDi 1 SED002 000m 20050404 Y N 246..00 70 148 1 4732613 000@ 20050404 151722 000s 0?O f 013O 3qEn 1 SED002 000A 20050404 Y N 246..00 105 200 1 4732660 000@ 20050404 154024 000s 0?O g 00Zz 3qEv 1 SED002 000A 20050404 Y N 246..00 90 174 1 4733221 000@ 20050404 173149 000s 0?O h 03EG 3qG F 1 SED002 000A 20050404 Y N 246..00 71 146 1 4733312 000@ 20050404 181118 000s 0?O i 00eL 3qG P 1 SED002 000A 20050404 Y N 246..00 95 146 1 4734735 000A 20050405 85938 000s 0?O j 02gL 3qIS 1 SED002 000@ 20050405 Y N 246..00 80 140 1 4734759 000@ 20050405 90422 000s 0?O k 01a@ 3qIP 1 SED002 000A 20050405 Y N 246..00 78 122 1 4734762 000m 20050405 90434 000s 0?O l 00ov 3qIU 1 SED002 000j 20050405 Y N 246..00 85 155 1 4734820 000A 20050405 90905 000s 0?O m 02NI 3qIZ 1 SED002 000@ 20050405 Y N 246..00 90 160 1 4734829 000N 20050405 90948 000s 0?O n 02wM 3qIV 1 SED002 000B 20040730 Y N 246..00 61 123 1 4734842 000m 20050405 91143 000s 0?O o 02XG 3qIb 1 SED002 000j 20050405 Y N 246..00 100 155 1 4734844 000m 20050405 91158 000s 0?O p 02XG 3qIb 1 SED002 000j 20050404 Y N 246..00 102 153 1 4734849 000m 20050405 91222 000s 0?O q 02XG 3qIb 1 SED002 000j 20050404 Y N 246..00 108 156 2 4734930 000Q 20050405 92235 000s 0?O r 01JH 3qIj 1 SED002 000B 20050405 Y N 246..11 78 140 1 4734932 000m 20050405 92313 000s 0?O s 00Uu 3qIi 1 SED002 000j 20050405 Y N 246..00 75 118 1 4734955 000N 20050405 92711 000s 0?O t 01wo 3qIn 1 SED002 000@ 20041013 Y N 246..00 76 140 1 4734960 000Q 20050405 92745 000s 0?O r 01JH 3qIj 1 SED002 000B 20050405 Y N 246..11 78 140 1 4735043 000h 20050405 94227 000s 0?O u 01bm 3qIu 1 SED002 000e 20050405 Y N 246..00 70 120 1 4735087 000m 20050405 94500 000s 0?O v 039n 3qJ0 1 SED002 000j 20050405 Y N 246..00 80 130 1 4735131 000@ 20050405 95000 000s 0?O w 001R 3qJ3 1 SED002 000A 20050405 Y N 246..00 81 124 1 4735142 000h 20050405 95232 000s 0?O x 01cH 3qJ7 1 SED002 000e 20050405 Y N 246..00 60 110 1 4735224 000N 20050405 101052 000s 0?O y 00Ny 3qJ9 3 SED002 000B 20050315 Y N 246..00 80 130 1 4735297 000m 20050405 101935 000s 0?O z 01wo 3qJL 1 SED002 000j 20050405 Y N 246..00 85 160 1 4735316 000h 20050405 102047 000s 0?P0 01lN 3qJK 1 SED002 000e 20050405 Y N 246..00 70 110 1 4735346 000N 20050405 102343 000s 0?P1 005p 3qJM 3 SED002 000A 20050307 Y N 246..00 66 109 1 4735352 000N 20050405 102429 000s 0?P2 005p 3qJM 3 SED002 000A 20050307 Y N 246..00 64 105 1 4735353 000Q 20050405 102434 000s 0?P3 01SU 3qJR 1 SED002 000A 20050405 Y N 246..11 80 130 1 4735357 000A 20050405 102446 000s 0?P4 00Ul 3qJT 1 SED002 000@ 20050405 Y N 246..00 80 140 2 4735400 000@ 20050405 102954 000s 0?P5 02kD 3qJU 1 SED002 000A 20050405 Y N 246..00 103 147
  • 15. 100 million “active years” of data (all England one Billion) 100 billion is total number ever born/lived Medical codes 107,000 Product codes 59,000 3 Terbytes of data *6 at any one time 180 TBs in total for UK would be 2 Petabytes
  • 17. Phase 3 to Real World
  • 19. N Practice Filters- Post Code, LRN, CLRN, AHSN Options Modify
  • 20. CPRD Trialaviz showing where the patients are by “large population” regions
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  • 22. CPRD Trialaviz viewer provides for a random series of patients who meet set criteria there record in two views- across a number of years and then magnified to a daily basis. In this case a further magnification of 1o therapy events shows what was prescribed. Any event can be hover over to understand the journey of care.
  • 24. The Power of the 54 million with real time fast query capability auto run capability algorithmic capability
  • 25. Mean Blood Pressure Mean LDL Fever/ microbiology Mumps