Iteration 0

Who Is Out There?

This initial iteration will put the first pass, proposed technical components together and test many of our first assumptions about how they could work together. If it works, we will be creating an end to end model that can be built upon in future iterations. If it doesn't work, we will have learned and answered some of our riskier questions.

Questions Being Answered:

The question that will be answered will be one of demographics

What is the age distribution of the network's patient population, by gender?

The answer will be in the form of two summary tables: first listing # of patients for each age (not year of birth but age) and the second, breaking down ages into 5 year age groups, both tables will be broken down by gender and show an absolute and percentage of the population.

For example, an output table could look like this

	Male		Female
Age	Absolute	Percent	Absolute	Percent
0	10	1%	10	1%
1	11	1.1%	10	1%
2	12	1.2%	10	1%
...	...	...	...	...
Total	500	50%	500	50%

Rationale:

While this is not exactly a pressing research question it is an important question to understand the nature of the network patient population as questions are developed and run. We want to show that the population of the network is representative of the general population of BC and comparing demographics is one way to do that.

In this iteration, SCOOP will be able to get answers out of the network to create a similar graph to the Stats Canada Age Structure Graph (minus, of course, the predictions). Another example is at Census Scope. BC Stats has some population estimates as well.

Goals:

1. Test Mirth
2. Move test data from OSCAR through to HQuery
3. Get to know HQuery
4. Get answers out for further manipulation (e.g. for creating graph)
5. Build experience with components

See:

• Features for Iteration0
• Iteration 0 Component View