The most powerful thing we do is make decisions. Today we will cover a new tool that can aid the region to make those

decisions.

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Facilitated by

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- IT restrictions (different products in each DHB)- System restrictions (built with best intentions in mind)- Data dumps- Constricted e.g. excel sizing- Drilling and multi faceted questions (time to answer = days-weeks)- Limited forecasting- Lack of automation (burden of repotting)- Multiple versions of the truth

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- Clinical examples- Business examples- Population examples

The list goes on

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- National ability e.g. CTAS- Prototyping (pipelines)- Automating- Structure (data management)- Quick wins

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◦ Data quality◦ Increase system knowledge◦ Continued work with CTAS

and others as directed◦ Expansion of knowledge

around what we have. Easy to share Easy to replicate Scalable Cheap

◦ Dissemination

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- Multi regional Midland + CTAS- Prototyping (pipelines)- Clinical indicators- Automating

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Don’t worry, you cannot identify who is listed on the following sheets:◦ We have huge datasets (50,000,000 records in some)◦ We have multiple regions included (so no we have not only used

Midland only examples)◦ We anonymise data anyway◦ Qlikview (our BI tool) has a scramble function

That and it is just more fun to keep people guessing

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Nice Try

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Still nothing

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Keep trying

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Sorry

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Still some hope

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SingularDHB

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Different DHB

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PHO 1000 Rates for three DHBs

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PHO 1000 Rates for three DHBS

The above led clinicians to look at IDFs (right) vs non IDF (left) at Waikato by day of week

DHB selected

Criteria Selecte

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When did they come in? from where (TLA)? what was their deprivation? how many had “X” diagnostic?

We run out of time… Regularly

We get to help with:Cohort analysis; based on these clinical symptoms with these key factors Group A [age, ethnicity, condition, location] vs Group B [age, ethnicity, condition, location] Quick updates to clinical practiceA regional and multi-regional view of the world

Most importantly we get better engagement from an array of stakeholders