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

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Reliable data matters for decision making and accountability at all levels

• National

• Regional

• Global

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

LogisticsMIS

Human Resource

Other systems

Program Tracking

MedicalRecordsSystems

Regional level: Ex. WAHO HIS : Regional integration of HMIS data

REGIONAL DASHBOARD

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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

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.

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

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)

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 platformNational multi-donor RBF platform

National HMIS migration on

DHIS2

National Regional Global

Our vision : building interconnected data systems for results

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

Live results.

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

Data linked to national data systems.

Dynamic and verified results instead of static results.

Click and zoom on public interfaces of national data systems

Global RBF platform.

RBF as a global multi-donor health system strengthening funding instrument

Thank you!