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Health Intelligence Units What Have We Learned?

Health Intelligence Units What Have We Learned?. Sten Ardal, CEHIP APHEO General Meeting February 18, 2005. Outline. A DAWG With A Bone The Technology Card Data, Data Everywhere Apples & Oranges Going, Going, Gone …Now For Something Completely Different!. 1. A DAWG With A Bone.

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Health Intelligence Units What Have We Learned?

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  1. Health Intelligence UnitsWhat Have We Learned? Sten Ardal, CEHIP APHEO General Meeting February 18, 2005

  2. Outline • A DAWG With A Bone • The Technology Card • Data, Data Everywhere • Apples & Oranges • Going, Going, Gone • …Now For Something Completely Different!

  3. 1. A DAWG With A Bone • Data Analysis Working Group • DHC & Health Planning Branch • Better Access to Data • Better Understanding of Use & Interpretation • BIG IDEAS! • Population Health Planning Units • A Linkable Data Warehouse • “Tiered” Access

  4. Converging themes • FIPPA – Privacy Concerns • Hospital Funding Reductions • University Interest • Public Health Needs • Proposal Call for 5 Regional HIUs • DHC/PHU/HSC Partnerships

  5. 2. The Technology Card

  6. Mid 90’s • Emerging technology: • E-mail • Networks & web access • Websites • HIUs as Technology Enablers • Capacity for “big” analysis • Infrastructure support • Internet data access • Specific technology funding

  7. 3. Data, Data Everywhere

  8. Interpretation and application of information Intelligence Data summed by factors such as age, sex, geography, etc. Summary information which measures factors influencing the health of individuals and populations Information Data Detailed data for each individual Reports Indicators Statistics Aggregate data Detailed record level data

  9. Support DATA analysis • Training, extraction & data products • Providing INFORMATION • Workshops, meta-data, methods, reports, CHIPDATA • Enabling better INTELLIGENCE • Contacts, symposium, projects

  10. 4. Apples & Oranges

  11. Regional Partnerships • Established communities • Reflected capacities & interests • Small units ~ had to specialize • HIU Program • Ministry difficulty with low Provincial profile • Tension with local Partnerships

  12. 5. Going, Going, Gone

  13. Losses • Data User Glue • How will “communities” be maintained? • Training & Knowledge Transfer • Who is “responsible” now? • Economy of Scale • Who will assume work for the benefit of others? • Tyranny of the Data Geeks • Diminished power to influence HI decision makers

  14. 6. Now For Something Completely Different!

  15. Distributed “Leadership” • APHEO • Universities • ICES • MOHLTC • Public Health Agency • Quality Council • LHIN Support

  16. “New” Tasks • Promote Partnerships • Organize Skills Training & Events • Identify Efficiency in Data Management • Work for Improved Data Quality and Administrative Systems that are more Population Health Relevant

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