GLAAS Information Management System (GIMS)
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- Leo Johnson
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1 GLAAS Information Management System (GIMS) Rifat Hossain, Statistician Public Health and Environment 2 nd SDMX Global Meeting Paris, January
2 Context 2.5 billion people without improved sanitation, around 900 million people without improved drinking-water Diarrhoeal disease is the 2 nd leading cause of death from infectious diseases, even before HIV/AIDS. Such deaths could be prevented, with good evidence based policies It is difficult to make evidence-based policy decisions in the sanitation and drinking-water sectors: Almost impossible to relate improvements in sanitation service levels to the money spent in the sector. The quantification of the human resource needs at the national level to reach the MDG drinking-water and sanitation target is not well-known. 2
3 What is GLAAS GLAAS is a UN-Water initiative led by the World Health Organization. UN-Water GLAAS is seeking a new approach to report progress in the sanitation, hygiene and drinking-water sectors strengthen evidence-based policy making towards and beyond the MDGs. 3
4 Why GLAAS Need for: A repository of evidence to make better informed decisions which are: Reliable Easily accessible Comprehensive Global Periodically updated 4
5 Value added at country-level: Comprehensive, transparent and mutual accountability tool Clear up-to-date snapshot of sanitation and drinking-water sectors Clear up-to-date snapshot of donors' priorities, commitments and disbursements Identification of information gaps (both countries and donors) Benchmarking among countries and among donors Increasing international visibility Tool for advocacy and resource mobilisation Identification and reduction of possibly overlapping data collection initiatives 5
6 GLAAS components GLAAS inputs: ACCESS: Sanitation and drinking-water FUNDS: National and local government, loans, grants, commitments, private sector, households CAPACITY: Governance, policies, regulations, human resources GLAAS outputs: 1. GLAAS report 2. www data management and information system 3. Strengthening monitoring systems capacity 6
7 What is GIMS A comprehensive data management system Data collection (functionality includes GIS mapping) Data analysis Data dissemination Dynamic, web-enabled (Web2.0) 7
8 GIMS for data collection A dynamic data collection mechanism Data is owned by the country Data directly fed into the system (web-enabled) Data fed into the system through form feed (excel to XML) Data collection is participatory Country reps feed data (designated officials with access) Online consultation (wiki environment) Real-time updating Dynamic data transfer using SDMX Data collection through GIS mapping 8
9 GIMS for data analysis A real-time data analysis tool Data is ready to be analyzed once fed and validated A customizable data analysis tool Multi-layered data Predefined and customized Country profiles More in-depth analyses by users possible Global and other regional reports in just a few steps 9
10 GIMS for data dissemination A state-of-the-art data dissemination system Analyses data displayed through Customizable charts, graphs, maps (with appropriate links) Other dynamic data dissemination tools GapMinder graphs, Google maps etc. 10
11 GIMS Options Global Health Observatory A WHO data management portal Connectivity to country data management tool DevInfo automatic connectivity Other data management system 11
12 What is Global Health Observatory? Sharing WHO's data Reducing fragmentation in the way WHO data are disseminated Responding to user needs Disease Outbreak Monitoring Global Health Observatory Monitoring the health situation and trends in the world Equity Gauge Health MDGs PHC/health systems performance Africa Improving the quality of data we disseminate Conflicts & Emergencies Tracking Women Gender NCD & risk factors Mortality & disease burden Other regions Positioning WHO as authoritative source of internationally comparable health statistics World Health Statistics Integrated Country Health Profiles 12
13 Openhealth: a standards-based platform A framework for integrating health data and applications Services oriented architecture promoting standards and best practices Standard public health data model Data and concept dictionaries Data exchange Suite of integrated and interoperable tools Data collection, management, presentation, analysis, reporting and exchange Leverages existing tools and services plug and play Based on Free and Open Source software (FOSS) components- away from the "black box" approach Operates on different operating systems (Windows, Mac, Linux,...) 14
14 OpenHealth Main Functionalities Transformation of Data into Informed Decisions 15
15 Data Exchange Standards IXF (v 3.0) SDMX Excel CSV... Connectivity with OECD/WB & country data repository 16
16 Information flow between data source to GIMS (1) users Internet OH SDMX Registry GIMS Agency A Agency B Agency C International Internet Internet Internet National A1 A2 A3 B1 B2 B3 C1 C2 C3 17
17 Information flow between data source to GIMS (2) users Internet OH SDMX Registry International (GIMS) A1 A2 A3 B1 B2 B3 C1 C2 C3 National 18
18 SAMPLE GHO VISUALIZATIONS AND OUTPUTS 19
19 20
20 Water and Sanitation in WHOSIS 21
21 GHO: Dynamic country profiles 22
22 23 GLAAS Health Information Statistics Management & Informatics System January 19, 2009
23 Dynamic Data Exchange GIMS Agency Y Data flow and validation Data loaded onto remote server Agency X Primary data source 24
24 Time line Data dissemination system by March 2009 UI and customizable analyses tools being developed Data collection system Test separately Integrated into GHO after March 2009 Full system operational: end report is based on pilot GHO! 2011 GIS connectivity development 25
25 Outlook Initially Development of GIMS customized for GHO/OH/Other UI development Data management (connect with primary data sources through SDMX, collect forms, conversion to XML) Training Training of the trainers Modular e-learning package Managing data and information flow Further development: GIS integration etc. 26
26 Thank you! 27