1. Improving humanitarian response through better health data:
analysis of two health information systems in MSF
MSF Scientific Day, 21st May 2016, London
Inma Gonzalez (OCBA), Olivier Cheminat (OCP)

2. Context 1. Drowning in data and starving for information
2. Gaps in timeliness and quality of data
3. Need to empower the field teams

3. Scalable web technology Pre-defined analysis tools
Solution
Scalable web technology
Open-source
University of Oslo
Solid community
Central repository
Easy access to data
Pre-defined analysis tools

4. Example of dashboard

5. Standard weekly and monthly reports
OCP
HQ LEVEL
COORDINATION LEVEL
Ongoing upload changes made by user
Ongoing download changes made by other users
Standard weekly and monthly reports
FIELD LEVEL

6. OCP
Objectives achieved: Standard data model with aggregated and event data, Field application (offline/online): data entry, data analysis through automatic reports
Objectives in progress: Focus on the learning process of the end users, Creation of project specific dashboards
Strategy: Empowerment and appropriation of staff, Creation of new data sets

7. OCBA HQ LEVEL COORDINATION LEVEL FIELD LEVEL
Offline / Online Deployment Import / Export Data Sync > in progress in standard DHIS2 Apps for functionality simplification Full Analysis functionalities at all levels

8. OCBA
Objectives achieved: Field empowerment, Timely access to information, 60 projects & 350 users trained
Objectives in progress: Implement new functionalities of standard DHIS2 > individual data, Mapping, Mobile
Strategy: Focus on data modeling and learning, Minimize IT efforts in development & maintenance, Community (DHIS2 academies, product development roadmap)

9. Resolution of requests:
Results
OCBA
OCP
Projects / Countries
60 / 16
17 / 9
Training
> 350 users
170 users (Praxis + DHIS2)
Process
Satisfaction:
On trainings: 83%
On implementation: 74%
Resolution of requests:
Functional: < 3 days
Technical: < 10 days
Result
Timely data entered: 93%
Timely data entered: 90%

10. Way forward
Natural convergence through community of practice toward: same environment / different strategies
Unify health indicators
Road towards open data
Capitalize experience to grow stronger together