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The Scottish Medical Record Linkage System: Past, Present and Future

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Title: The Scottish Medical Record Linkage System: Past, Present and Future


1
The Scottish Medical Record Linkage System Past,
Present and Future
David N Clark Information Services Division - NHS
Scotland Friday 18th September 2009 Exploiting
Existing Data for Health Research St Andrews
University
2
The Scottish MRL System
  • Information Services Division (ISD Scotland)
  • History of MRL in Scotland
  • Methodology
  • Outputs
  • Current Status
  • Future Plans

3
ISD Groups Programmes
Women and Childrens Health CancerClinical
GovernanceSubstance MisuseQuality
ImprovementWaiting TimesCoronary Heart Disease
Stroke Mental Health Scottish Public Health
Observatory Long Term Conditions etc etc Record
Linkage
4
National Data Flows
Primary Care Organisations
Dentists
Private Hospitals
Acute NHS Hospitals
Pharmacists
NHS Boards
G.P.s
English NHS
Hospices
Births Deaths
Health Departments
5
Stakeholders/Customers
  • Hospitals/Primary Care
  • Health Boards
  • GP Practices
  • Scottish Executive
  • Scottish Parliament
  • Health Councils
  • Local Authorities
  • Public
  • Charities
  • Universities
  • Students
  • Private Sector
  • Media

6
History of MRL at ISD
  • Late 1960s Familiarisation with early RL
    techniques (Newcombe) close contact with Oxford
    initiative.
  • 1967-68 Hospital discharge records, cancer
    death registrations held centrally in
    machine-readable form and containing
    patient-identifying information.
  • 1968-88 Phase 1 of MRL in Scotland approx. 50
    ad-hoc linkages completed for epidemiological
    purposes.

7
History of MRL at ISD /contd
  • 1989 Phase 2 begins creation of permanently
    linked national datasets.
  • 1995 Clinical Outcome Indicators published.
  • 2001 Enter SLA with Chief Scientist Office for
    funded research projects.
  • 2003 Monthly production system of linked acute
    psychiatric hospital discharges/cancers/deaths.
    Data Warehousing (ACND).

8
ISD MRL Training - 1989
9
ISD MRL Training - 2009!
10
Publications
11
Commendation
Conclusion Probabilistic record linkage to
routine maternity records applied to
population-based cohort, using name, date of
birth and place of residence, can have high
specificity, and as such may be reliably used in
epidemiological research.
12
Current Developments
  • ISD Record Linkage Strategic Plan (2009-13)
  • CHI-seeding Methodology
  • ACaDMe
  • SHIP SHIS-R

13
Record Linkage Strategy
  • Develop the use of CHI within the record linkage
    process
  • Review, develop and productionise process for
    updating Linked Maternity and Neonatal Database
  • Develop and provide training resources on linkage
    methodology and analysis tools
  • Support projects funded by the
  • Chief Scientist Office (CSO)
  • Health Protection Scotland (HPS)
  • Scottish Government E-care Programme
  • Scottish Health Informatics Programme (SHIP) /
    SHIS-R
  • other externally funded research projects
  • Represent ISD, NHS Scotland within local and
    international networks, developing collaborative
    working relationships with other research bodies

14
CHI-seeding Methodology
  • Community Health Index (CHI) Population
    register of patients registered with a GP
    Practice
  • Full coverage in Scotland since 1988
  • Unique Patient Identifiers for 10 million
    patients
  • Conformed ISD Datasets seeded with CHI
  • Automated CHI-seeding on sufficient external
    datasets simpler more efficient process

15
ACaDMe
  • Acute, Cancer, Deaths, Mental Health Data Mart.
  • New conformed version of Linked Dataset with
    patient dimension based on seeded CHI numbers
    rolling out to NHS Boards in 2009/10.
  • Business Objects XI front-end.
  • Added value data
  • Population reference files
  • Code descriptions
  • Standard groupings (e.g. age, diagnosis,
    operation)
  • Derived items (e.g. time to death)

16
SHIP
Scottish Health Informatics Programme
17
SHIS-R Vision Road Map
  • Scottish Health Information Service for Research
  • SHIS-R Project initiated to create infrastructure
    for access and linkage to national data.
  • What types of things might academics want to do?
  • Potential types of datasets
  • Unlinked
  • Linked
  • Aggregated
  • Interrogation of ISD datasets
  • Anonymisation
  • Passport System (Approved Training/Audit Trails)
  • Safe Havens
  • Governance relating to linkages between ISD
    datasets and/or ISD datasets and non ISD datasets
  • Data linkage, transfer and storage
  • MILA (Multi-Institutional Linkage and
    Anonymisation) Pilot
  • CHI seeding
  • Probability Matching

18
Finally Acknowledgements(ISD Linkers Past
Present)
  • James Boyd, Richard Dobbie, Andy Duffy, Andy
    Elders,
  • Alan Finlayson, Mike Fleming, Susan Frame,
  • Julie Gilbert, Kevin Greig, Lena Henderson,
  • Leanne Hopkins, Laura Kelso, Steve Kendrick,
  • Laura Marchbank, Kevin McInneny,
  • Terry McLaughlin, Margaret McLeod, Carole
    Morris,
  • Fiona OBrien, Chris Povey, Janey Read,
  • Jacqui Russell, Cath Storey, Mary Sweetland,
  • David Tennyson, David Walsh, Bruce Whyte,..
  • and apologies to anyone omitted!
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