Notice B

Promoting the collaborative development of proposals for investments in digital health global goods

Notice B: Integrating Outlier Analysis and Data Quality User Notification into Core DHIS2 Analytics Applications

Primary Author: Scott Russpatrick

University of Oslo (UiO) requests support for the continued development of improved data quality analysis features. Specifically, through a widely successful proof-of-concept outlier analysis and automatic user notifications to data quality issues has been identified as a necessary features to incorporate into all standard analytics tools in DHIS2: charts, pivot tables, maps, scorecards, and dashboards. UiO proposes an eleven-month agile development timeline what will be in initially informed by several detailed investigatory field visits to fully appreciate end-user needs followed by an interactive approach to software development, beta-testing testing, and bug fixing before final release. Finally instructional videos will be produced and documentation developed to inform users on how these functionalities can be used.

Application Status: 
In Scope - withdraw