DHIS2 SERVICES

As the Lusophone partner of the UiO, Saudigitus overall goal is to support portuguese speaking countries to strengthen their health systems and the capacity to govern their Health Information Systems in a sustainable way. This support is focused on promoting DHIS2 platform, as a global public good to the Lusophone community, the innovations and current developments of DHIS2 platform.

For that we offer:

DHIS2 Academies and custom trainings

DHIS2 Academies aim to strengthen national and regional capacity to successfully set up, design and maintain, and use DHIS2 based systems. Through an intensive training combining theoretical and practical sessions, participants are trained to become a DHIS2 expert ready to support their organisation’s data collection, analysis, and reporting needs using DHIS2.

This capacity building is addressed both from a technical perspective, providing a better understanding of the available DHIS2 tools and their best practices, as well as from the health management side through sessions on data quality and information use.

The following are activities offered since the first half of 2014 with their corresponding schedules:

Training Location Date
DHIS 2 Academy – Information Use Southern Sun Hotel 3-8 July 2017
DHIS 2 Academy – Design and Customization Eduardo Mondlane University February 2017
DHIS 2 Academy – Tracker Kaya Kwanga October 2016
DHIS 2 Academy – Fundamentals Eduardo Mondlane University June 2016

 

DHIS2 Customization and Implementation Support

Facilitate information system reviews and innovations through design, development and implementation of Health Information Systems. Integrate Monitoring and Evaluation standards into data collection, monitoring, progressive assessments and research for data quality and use.

Saudigitus services towards customization and implementation support are designed to help this translation from data to information to knowledge. These services include:

1. Helping in the design of integrated data warehouse for countries and organizations.

2.Supporting the rationalization of data collection forms, and linking data collection to indicators.

3. Design of relevant indicators for different health programme management.