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Published byChester Lee Modified over 6 years ago
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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)
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Context 1. Drowning in data and starving for information
2. Gaps in timeliness and quality of data 3. Need to empower the field teams
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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
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Example of dashboard
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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
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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
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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
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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)
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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%
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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
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