DHIS2 works in partnership with the World Health Organization (WHO) on a variety of health-related initiatives, including the creation of standardized metadata packages to strengthen data use on a national and international level
DHIS2 works in partnership with the World Health Organization (WHO) on a variety of health-related initiatives. Since 2017, the Health Information Systems Programme (HISP) at the University of Oslo — which develops and supports DHIS2 — has been officially designated as a WHO Collaborating Centre for Innovation and Implementation Research on health system strengthening. One key aspect of our collaboration has been the creation of standardized metadata packages to strengthen data use on a national and international level, and application to facilitate improved data quality.
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The WHO-approved DHIS2 Health Data Toolkit provides a digital set of tools to support adoption of WHO routine health data standards into the national routine health information system. Aligned with the WHO Toolkit for Routine Health Information Systems Data, integrated analysis and program-specific DHIS2 modules are designed according to global data analysis guidance and standards for measurement. The DHIS2 toolkit provides a fully digitized reference implementation consisting of installable metadata packages, technical documentation, demo databases and implementation guidance. WHO-approved DHIS2 metadata packages can be installed in standalone DHIS2 systems or integrated into existing DHIS2 instances and adapted according to national context. The metadata packages bring together global standards and DHIS2’s evidence-based design practices for integrated health information systems in an easy-to-install toolkit for rapid adoption.
The currently available WHO packages and tools are listed on this page organized by program. Downloadable configuration files and documentation are available on the Metadata Package Downloads page.
The following types of WHO packages are currently available:
Dashboards, data visualizations, standard indicators, and data use & analysis guidance. This package can be installed and mapped to inputs in a country’s existing routine program or HMIS; or used in combination with an aggregate data collection package.
Data input forms, standard data elements and disaggregation to support the collection of aggregate data. Aggregate data input packages are assured to produce the indicators and dashboards included in the analytics package.
Individual-level data capture modules to enhance a patient-centered approach for program management. Tracker is used to uniquely identify and track a person or entity over time. These packages can be used to support clinical-level decision-making and generate highly granular data for enhanced analysis, while mapping to standard outputs in the analytics packages.
The WHO Data Quality Tool is intended to aid in health system strengthening by improving the quality of data used for analysis and decision making. The application can be incorporated into any DHIS2 implementation, and assists system administrators in identifying potential errors in the data. This knowledge can be used to take appropriate action for improving data quality. In many cases, this will be to either edit the data or to improve the data collection system.
DHIS2 has produced an array of different data packages and tools to support a variety of health programs. See below for a summary of what is available for each program, and click the links for additional information, resources and downloadable package files.
Read more about DHIS2 for Immunization:
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Download DHIS2 Packages and Tools:
Download DHIS2 Packages and Tools:
Download DHIS2 Packages and Tools:
Download DHIS2 packages and tools:
Download DHIS2 Packages and Tools:
Try out the WHO dashboards and data packages yourself with our interactive demos (login required)
The WHO digital data packages are supported by the Health Data Collaborative, a collaborative platform that leverages and aligns technical and financial resources (at all levels) to country owned strategies and plans for collecting, storing, analyzing and using data to improve health outcomes.
