1. Interoperability: Connecting RBF and HMIS data systems Better measurement of results at national, regional and global level Why a single standard taxonomy of health results is important

2. Reliable data matters for decision making and accountability at all levels 2 National Regional Global

3. Routine data National level : Connecting RBF to National HIS: Brings verified data, data on quality of care, patient satisfaction and financing in HIS systems Reduces parallel data entry processes National HIS Logistics MIS Human Resource Other systems Program Tracking Medical Records Systems

4. Regional level: Ex. WAHO HIS : Regional integration of HMIS data REGIONAL DASHBOARD

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8. A problem: taxonomy Limited interoperability System fragmentation Data islands Complex system integration Normal assisted delivery Births attended by skilled health personnel Births by caesarean section Césarienne Accouchement eutocique Accouchement encadré Major surgery Acte chirurgical majeur Partos assistidos por pessoal de saúde qualificado Eutócico entrega Distócicos entrega Cesariana Cirurgia major Example: Maternal Health Accouchement assisté Example of the current situation: Multiple and not standardized definitions of health indicators. Extreme complexity to link systems

9. Our proposal : A single taxonomy for aggregated data Proposal: Set up a standard taxonomy for health system outputs and results. Make the standard taxonomy available on the web (WHO, OpenRBF, DHIS2, OpenHDD) and regional/governmental websites Implement this taxonomy in RBF and HMIS data systems i.e. Benin, Burkina, Senegal, Laos, DRC,… In practice : A database with a standard codification and definitions of health outputs that indicates the date, location, type of output/result in a health system.

11. Why a standard taxonomy matters  Facilitates RBF and HMIS interoperability at national level  Facilitates the tracking of results and funding in national multi-donor RBF platforms (Benin, Burundi, DRC,…)  Facilitates regional integration of aggregated data systems (HMIS or RBF)  Facilitates the set up of a global data warehouse for health results connected to national routine data systems (HMIS, RBF and others data systems)  Facilitates the set up a global RBF financing platform

12. The taxonomy will link with existing efforts In relation with the multi-agency working group and current harmonization processes and data initiatives OpenHIE ICPC (WHO) IATI standard. International aid transparency standard ICD10 (WHO) : International Classification of Diseases Service Delivery Indicators (SDI)

13. Standard taxonomy for health system results RBF DHIS2 module OpenRBF API National RBF and HMIS interoperability Regional integration of HMIS Global results data warehouse Global RBF platform National multi-donor RBF platform National HMIS migration on DHIS2 National Regional Global Our vision : building interconnected data systems for results

14. Strengthening national multi-donor RBF platforms  204 deliveries in Kapkame, Benin Q4 2014 2409$ from GFATM for Q4 2014

15. Live results. Zoom from aggregated data to each of the health facility on the frontlines (geolocalize, and with a picture)

16. Data linked to national data systems. Dynamic and verified results instead of static results. Click and zoom on public interfaces of national data systems

17. Global RBF platform. RBF as a global multi-donor health system strengthening funding instrument

18. Thank you!