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openEHR: the UK 100,000
Genomes project
Dr Ian McNicoll
Co-Chair openEHR Foundation
Interopen member - openEHR
Director freshEHR
CCIO inidus limited
Genomics England: 100,000 Genomes
DNA analysis of 100,000 Rare
Disease and Cancer participants ‘opt-
in’
Clinical phenotypics provided by
‘Genomic Centres’
symptoms, signs, diagnoses, clinical
scores, laboratory results, imaging,
histopathology ……
GEL-defined reporting dataset
Custom curation/ reporting tool (GENIE)
XML data export to GEL
https://www.genomicsengland.co.uk/
GEL and openEHR
2 Genomic centres using
openEHR CDRs to manage
local repositories for clinical
phenotypic
pool and normalise source data
from local clinical systems
emulate GEL reporting dataset in
openEHR archetypes/templates
North Thames Genomic Centres
7 London hospitals, each with a
CDR.
NTGMC architecture
Input - curation - Output
Lab input
template Source
Diagnosis
templates
GEL Lab report
GEL Diagnosis
Report
AQL
Lab input
template Source
Diagnosis
templates
“Find candidate lab results”
“Find related problem-diagnoses”
GEN
IE
app
GOSH CDR
UCLH CDR
NTGMC CDR
GEL XML
GEL dataset to openEHR
26 templates
13 RD ‘output’
11 Cancer
‘output’
2 ‘input’
99 archetypes
44
international
27 localised
28 purely local
http://ckm.apperta.org/ckm/#showProject_1051.61.28
Localisation challenges
Very large dataset > 1500
datapoint
Mismatch between reporting data
and operational data patterns
Long tail of unusual Rare Disease
investigations
Family history / pedigree in the
“age of genomics”
Adding AQL paths back into GEL
metadata repository
Mind the gap!
NTGMC - why openEHR?
based on a common, open information
model
open specifications
open source clinical content definitions
other parts of the ecosystem need not
be open source
critical infrastructure for new app
developers / other research projects
substantially faster development
much lower barriers to market
no vendor / technology lock-in
openEHR CDR
openEHR Rest API + AQL
Best of Breed 3.0:
’open platform’ architecture
open Information Model
App App App
openEHR: UK 100,000 Genomes project

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openEHR: UK 100,000 Genomes project

  • 1. openEHR: the UK 100,000 Genomes project Dr Ian McNicoll Co-Chair openEHR Foundation Interopen member - openEHR Director freshEHR CCIO inidus limited
  • 2. Genomics England: 100,000 Genomes DNA analysis of 100,000 Rare Disease and Cancer participants ‘opt- in’ Clinical phenotypics provided by ‘Genomic Centres’ symptoms, signs, diagnoses, clinical scores, laboratory results, imaging, histopathology …… GEL-defined reporting dataset Custom curation/ reporting tool (GENIE) XML data export to GEL https://www.genomicsengland.co.uk/
  • 3. GEL and openEHR 2 Genomic centres using openEHR CDRs to manage local repositories for clinical phenotypic pool and normalise source data from local clinical systems emulate GEL reporting dataset in openEHR archetypes/templates North Thames Genomic Centres 7 London hospitals, each with a CDR.
  • 5. Input - curation - Output Lab input template Source Diagnosis templates GEL Lab report GEL Diagnosis Report AQL Lab input template Source Diagnosis templates “Find candidate lab results” “Find related problem-diagnoses” GEN IE app GOSH CDR UCLH CDR NTGMC CDR GEL XML
  • 6. GEL dataset to openEHR 26 templates 13 RD ‘output’ 11 Cancer ‘output’ 2 ‘input’ 99 archetypes 44 international 27 localised 28 purely local http://ckm.apperta.org/ckm/#showProject_1051.61.28
  • 7. Localisation challenges Very large dataset > 1500 datapoint Mismatch between reporting data and operational data patterns Long tail of unusual Rare Disease investigations Family history / pedigree in the “age of genomics” Adding AQL paths back into GEL metadata repository
  • 9. NTGMC - why openEHR? based on a common, open information model open specifications open source clinical content definitions other parts of the ecosystem need not be open source critical infrastructure for new app developers / other research projects substantially faster development much lower barriers to market no vendor / technology lock-in
  • 10. openEHR CDR openEHR Rest API + AQL Best of Breed 3.0: ’open platform’ architecture open Information Model App App App