Difference between revisions of "BingBong"

Revision as of 11:16, 27 October 2016

List of group members

August Haug Hem,

Åvald Åslaugson Sommervoll,

Mahasty Assi

Summary of requirements

A Cleaning and Deduplication of Events The DHIS2 Tracker module allows people to collect individual level data. These come in two forms: 1) “Singelton” cases that are recorded only once without registration or follow-up (e.g. Outpatient data). DHIS2 calls this a single event. 2) Events linked to a person (the DHIS2 term is a Tracked Entity Instance - TEI) where you first look up a person (or register a new) who is enrolled in a health program and then follow the patient over a period, with each visit to the doctor recorded as an event, linked to the program (e.g. a TB patient). However, patients often go to different clinics for the same thing, and a lot of data is collected offline, without the possibility to check if the patient is already in the system. Therefore, there is a need to A) identify duplicate people and B) reconcile the data belonging to the same person. The task is to make a webapp which helps administrators to easily identify clear and potential duplicates (e.g. slight misspellings) and mark them for reconciliation (which the app could also assist in). A combination of automated and manual filtering/navigation. You can initially assume the number of persons and events is small enough to be handled in the client. For more advanced functionality, it is also interesting to link to server side procedures.

Time schedule

Thursday 10-12

How you are dividing tasks within the group

Wiki start: Åvald

Screenshots and screen flows

Documented learning during project

Suggested improvements to APIs etc

Link to repository

https://github.com/lax1n/INF5750-Project

Download link to sample web app

Architecture

- react

- flux (redux/alt.js)

- html, css, and javascript (ofc)

(-Bootstrap)

(-http://www.material-ui.com/#/)

Understanding

We are to clean the DHIS2 Tracker module. This will be done by finding possible duplicate entries of the same patient, and presenting these findings to an admin. Who can choose to mark them for reconciliation or dismiss the finding. We see that we can also assist in the reconciliation.