Post on 22-Dec-2015
transcript
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
• 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
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