Iteration 10

Efficiency, Accuracy and Quality

This rapid 4 week iteration is focused on refining and optimizing the deployment from IT9.

Question(s) Being Answered:

This iteration, we will be implementing a set of queries as a single batch or Query Set. These queries will be based on what was defined in IT6 and may expand on it as well as a set of Data Quality probes.

For more details on these queries, see IT10 Queries

Rationale:

Testing code within a lab environment and running code within a production environment usually yields new and unexpected results since there is only so much that can be simulated within a pristine lab environment. Production environments can expose weaknesses/limitations to code that a lab environment may not necessarily expose.

The main goal this iteration is to resolve these newly discovered weaknesses or limitations to our codebase and find ways to improve its efficiency and accuracy. We will be focusing on introducing a differential export mechanism to reduce the export load and not require each export event to process every record.

One of the elements needed for the overall design is the ability to run (and rerun) sets of queries. These can be related queries in the sense of multiple, related queries (e.g. data quality queries that support interpretation of the main query) or they may be a batch of queries that are run routinely (e.g. in the case of the AMCARE query set).

To contain the scope of the query set, the sub-set of AMCARE queries has been chosen that should cover data elements that are currently included in the OSCAR E2E exporter. Additional mapping may occur in this iteration in preparation for including the full query set, once it has been documented and shared by AMCARE.

The main goal of this iteration is to deploy with physical hardware continue live testing. This would allow us to documented challenges encountered while setting up a SCOOP Endpoint system in a clinic.

Secondary goals for this iteration includes:

• Investigating Data Quality from both the source and the processed outputs

Features:

See Features for Iteration 10