Example of Decision Support System (DSS) in our organization:
During my tenure with TDH, I learned about the Integrated e-Diagnosis Approach (IeDA), a digital health solution supporting primary health care workers in West Africa and Asia. Developed by TDH and the Burkina Faso Ministry of Health, IeDA digitalizes the WHO’s Integrated Management of Childhood Illness (IMCI) protocol. It guides healthcare workers to provide accurate diagnoses and effective treatments for newborns, children, and their mothers. The system also collects and analyses data to improve care quality and inform policy-making.
Is it working well?
From knowledge-sharing sessions and reports, IeDA has proven effective in improving clinical decision-making, standardizing treatment protocols, and supporting healthcare workers, especially in rural areas or with limited experience.
Factors that might influence DSS implementation:
Several factors could influence the successful implementation of a decision support system like IeDA for field-level health workers in Myanmar. One potential idea is to adapt the system to include the Burma Border Guideline, which would guide EHO health workers in following standardized protocols for common illnesses in newborns, children, and pregnant women in ethnic areas.
1. Reliable devices and mobile networks, with offline functionality.
2. Training for field health workers on using the DSS.
3. Leadership support and clear policies for consistent use.
4. Alignment with local protocols, languages, and practices.
5. User trust, supported by demonstrated improvements in patient care.