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HIQA - Driving
improvements in
national health
information
Barbara Foley
Health Information Manager
HIQA
bfoley@hiqa.ie
Presentation Outline
 Background
 Current Health Information work
programmes
 Updated Catalogue of national data
collections (2017)
 Review programme for national data
collections
 PIA Guidance – revised
 Data Quality Framework
Evolving Health Information
Landscape in Ireland
What is HIQA’s remit in health
information?
Health information is
expensive to collect
so
“Create once,
Use many times”
Complex health information landscape
Updated Catalogue of national health
and social care data collections
Importance of national health information
 Accurate, relevant and timely data is essential to:
 Improve care
 Inform decision making
 Monitor diseases
 Plan services
 Inform policy making
 Conduct high quality research
Need for standards to drive
quality health information to
improve the safety and
quality of patient care
Review programme for national data
collections
Review programme for national
data collections- 2017
 Self assessment tool – sent
to all national data
collections in HSE
 Review programme
underway to assess
compliance with information
management standards for
national data collections
Overview of SAT findings - HSE
1. Statement of purpose
2. Statement of
Information Practices
3. Data quality
framework
4. Data quality
statement
5. Data dictionary
Guidance to support the standards
– 5 Quality improvement tools
Updated Guidance - Privacy Impact
Assessment • GDPR – May 2018
• “Data Protection by
Design”
• Transparency and
accountability
• Data Protection
Impact Assessment
• Data Protection
Officer
 PIA is a process that
facilitates the protection
and enhancement of the
privacy of individuals by:
 Considering the future
privacy consequences of a
proposed project or
initiative
 Evaluating the broad
privacy implications and
legislative compliance
 Mitigating privacy risks
where possible
Privacy impact assessment (PIA)
Data Quality Framework
“Quality is never an accident; it is always the result
of intelligent effort”
- John Ruskin
Plan
Document
Implement
Assess
Improve
Prevent
Data Quality
Framework
Data quality
strategy
Dimensions of
data quality
Data quality
assessment
methodology
Reporting on
data quality
Data quality
improvement
cycle
A description of:
• Governance structures
• Policies and
procedures
• Training
• Audit
• Standardisation
A description of how each
of the dimensions of data
quality relates to the
Health or social care
service
A description of the data
quality assessment
methodology used by the
health or social care
service.
A description of how data
quality is reported,
including:
• Data quality
assessment reports
• Key performance
indicators
• Data quality
statements
A description of how
continuous improvement
of data quality is
assured by the health or
social care service.
Health Information journey....
More information....
www.hiqa.ie
Better data, better
decisions...
for safer better
healthcare

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Barbara foley

  • 1. HIQA - Driving improvements in national health information Barbara Foley Health Information Manager HIQA bfoley@hiqa.ie
  • 2. Presentation Outline  Background  Current Health Information work programmes  Updated Catalogue of national data collections (2017)  Review programme for national data collections  PIA Guidance – revised  Data Quality Framework
  • 4. What is HIQA’s remit in health information?
  • 5. Health information is expensive to collect so “Create once, Use many times”
  • 7. Updated Catalogue of national health and social care data collections
  • 8. Importance of national health information  Accurate, relevant and timely data is essential to:  Improve care  Inform decision making  Monitor diseases  Plan services  Inform policy making  Conduct high quality research Need for standards to drive quality health information to improve the safety and quality of patient care
  • 9. Review programme for national data collections
  • 10. Review programme for national data collections- 2017  Self assessment tool – sent to all national data collections in HSE  Review programme underway to assess compliance with information management standards for national data collections
  • 11. Overview of SAT findings - HSE
  • 12. 1. Statement of purpose 2. Statement of Information Practices 3. Data quality framework 4. Data quality statement 5. Data dictionary Guidance to support the standards – 5 Quality improvement tools
  • 13. Updated Guidance - Privacy Impact Assessment • GDPR – May 2018 • “Data Protection by Design” • Transparency and accountability • Data Protection Impact Assessment • Data Protection Officer
  • 14.  PIA is a process that facilitates the protection and enhancement of the privacy of individuals by:  Considering the future privacy consequences of a proposed project or initiative  Evaluating the broad privacy implications and legislative compliance  Mitigating privacy risks where possible Privacy impact assessment (PIA)
  • 15.
  • 16. Data Quality Framework “Quality is never an accident; it is always the result of intelligent effort” - John Ruskin Plan Document Implement Assess Improve Prevent
  • 17. Data Quality Framework Data quality strategy Dimensions of data quality Data quality assessment methodology Reporting on data quality Data quality improvement cycle A description of: • Governance structures • Policies and procedures • Training • Audit • Standardisation A description of how each of the dimensions of data quality relates to the Health or social care service A description of the data quality assessment methodology used by the health or social care service. A description of how data quality is reported, including: • Data quality assessment reports • Key performance indicators • Data quality statements A description of how continuous improvement of data quality is assured by the health or social care service.
  • 20. Better data, better decisions... for safer better healthcare