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Task 3: Upgrade the de-duplication reports from flat files to database persistence.
The de-duplication module creates reports listing potentially duplicate records, which end-users can manually review and merge when necessary. Until recently, these "de-duplication reports" were stored as flat files. Unfortunately, flat files limit our ability to manage the data and hinder new creative ways to display the data. Therefore, upgrading from flat files to persisting the data in a relational database will help users and developers more meaningfully use this data. The successful applicant will continue the previously initiated work for this task. For a detailed description of what we have completed so far, and for more hints on how to complete this ticket, see here.

Task 4: Implement a process to analyze and highlight useful de-duplications fields
Data fields in OpenMRS often *appear* to be useful for de-duplication, but are not. This can be the case for a variety of reasons: data may be incompletely or inaccurately recorded, some fields may simply lack the discriminating power to be meaningfully used as matching variables, etc. To rapidly identify data fields that optimally support de-duplication, we've developed data quality and information content metrics that characterize the usability of fields specifically for use with de-duplication. This information can help guide the de-duplication user when selecting specific fields for duplication strategies.

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1. You can checkout the latest PatientMatching code from here
2. For a more detailed description of how PatientMatching works, study wiki pages No.1 and 2

3. A Screencast on the PatientMatching module is also available here
4. Previous GSoC project pages can be found here: GSOC 2011, GSoC 2010 and GSoC 2009.

4. Feel free to contact us at surangakas at gmail dot com or sgrannis at regenstrief dot org for further clarifications