DHIS2 is an open source data warehouse used to collect, process and report (healthcare) data. It is continuously being developed by a team of academics assisted by enthusiastic practitioners throughout the world. It was originally developed by the University of Oslo for use in South Africa. The University of Oslo team continue to lead the effort to sustain and upgrade the package. The University of Oslo has a core development team and has several PhD programs focussing on new features and innovations
- DHIS2 is web based, and has excellent data collection and reporting tools and includes additional functionality such as GIS, charts, SQL views and pivot tables.
- DHIS2 was used initially and is still predominantly used for collecting aggregate health care data from administrative districts in developing countries. However Governments and NGOs are using DHIS2 more broadly within health care and other sectors.
- Full and comprehensive information on DHIS2 can be obtained from www.dhis2.org.
- The ADMIT review scope was to assess how DHIS2 may be used within a Data Management process in the healthcare sector either stand alone or in combination with other Data Management tools.
List the main concerns and recommendations for this WP
DHIS2 is an all-encompassing system which has the potential to be used on all non-regulatory data management work flows. It has all the features for collecting data, processing data and reporting data. The main attraction to our group to use the package was the dashboard and the real time presentation of results.
Concerns were expressed about whether the system was too general, because it addressed such a wide range of features and perhaps other systems may be better to use with only the specialised features required by individual projects. As the skills/users of DHIS2 at the workshop was basic or novice, more work needs to be done to accurately assess the use of DHIS2. This page will be updated as we gain more experience of using the package. It is now installed on laptops on ADMIT members attending the workshop.
Other future work may be to organise DHIS2 training for interested ADMIT members
A fully functioning DHIS2 example with ADMIT type data need to be developed with a full assessment of how DHIS2 performs against other packages. The concerns around the speed of data processing and the ability to data manage patient level data need to be explored in detail. (e.g, data verification, data validation, data review).
Name & Affiliation : David Parker, Liberia, EHealth Africa (eHA)
Contact : dtparker271 [@] yahoo.com