This community innovation has been accepted at the 2026 DHIS2 Annual Conference as a physical poster.
Metadata & Workflow Optimization in DHIS2 Tracker
Background: DHIS2 implementations rely on structured metadata to support complex workflows. Over time, tracker programmes accumulate excessive data elements, duplicated attributes, and poorly structured programme stages due to incremental expansion without formal metadata governance. This increases system complexity, reduces usability, and affects data quality. Sri Lanka’s national under-five child mortality surveillance tracker demonstrated these challenges after several years of evolution without a structured metadata review. Metadata rationalisation approach: A structured metadata rationalisation process was undertaken as part of a DHIS2 optimisation initiative. Existing metadata including programme stages, data elements, tracked entity attributes, programme rules, and validation rules were reviewed against actual surveillance workflows. Workflow mapping identified redundancies and misalignment between metadata and operational practice. A data minimisation principle was applied to retain only metadata that directly supported surveillance objectives and mortality review. Implementation and workflow optimisation: The tracker programme was reconfigured with streamlined programme stages aligned to notification, investigation, and review workflows. Redundant data elements and duplicate attributes were removed, while retained elements were reorganised to improve data entry efficiency. Programme rules and validation rules were refined to strengthen internal data consistency and reduce downstream data correction. A metadata dictionary was developed to document definitions, design decisions, and governance considerations. Outcomes and lessons learned: Metadata rationalisation resulted in a more maintainable tracker configuration with improved usability and conceptual clarity. Alignment between workflows and metadata improved data completeness and consistency. Key lessons highlight the importance of periodic metadata audits, clear governance mechanisms for metadata change control, and recognising metadata as a strategic digital asset. Conclusion: Disciplined metadata management and workflow alignment are critical to strengthening the effectiveness and sustainability of DHIS2 Tracker programmes.
Primary Author: Duniya Minoli Kahandawaarachchi
Keywords:
DHIS2, DHIS2 Tracker, metadata rationalisation, metadata governance, workflow optimisation, health information systems, programme stages, data elements, tracked entity attributes, programme rules, validation rules, data quality, usability, surveillance workflows, child mortality surveillance, under-five mortality, public health surveillance, digital health systems, system optimisation, metadata audits, data minimisation, system sustainability, digital public good, low- and middle-income countries, Sri Lanka