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27.05.2016 Seite 1 Bringing data into common place through use of appropriate database software Muhammad Abdul Hannan Khan Senior Advisor HMIS GIZ Health.

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Presentation on theme: "27.05.2016 Seite 1 Bringing data into common place through use of appropriate database software Muhammad Abdul Hannan Khan Senior Advisor HMIS GIZ Health."— Presentation transcript:

1 27.05.2016 Seite 1 Bringing data into common place through use of appropriate database software Muhammad Abdul Hannan Khan Senior Advisor HMIS GIZ Health Dhaka, Bangladesh 20 June 2011

2 27.05.2016 Seite 2 Page 2 DMIS Project objectives DMIS is a project funded by giz and its objectives are :  Create a central data warehouse for integration of data from different sources, e.g. MIS Health, FP, NNP, UPHCPII, and vertical programs (EPI, TB etc.)  Enhance utilization and quality of routine data  Improve the HIS related capacity of the MoHFW and the performance of the MISs and programs 27.05.2016

3 27.05.2016 Seite 3 Page 3 Making data compatible and comparable Data Warehouse MIS FP MIS Health 27.05.2016 UPHCP MIS EPI TB MIS

4 27.05.2016 Seite 4 Page 4 Data warehouse today  The data warehouse with about 8 million data values and 1,000 data elements is ready for use, e.g. for indicator monitoring; it can create dynamic reports, graphics and GIS presentation for all levels and different queries  A web portal is designed and dashboards containing the most important indicators are ready, allowing the utilization of information at the fingertip  MISs have started using the same open source software (DHIS2) DMIS is using; standardization and harmonization processes have been initiated 27.05.2016

5 27.05.2016 Seite 5 Page 5 Opportunities  Use the data warehouse as a basis for an integrated e-health architecture, that pools data from all MISs and other systems, e.g. HRIS, Hospital IS, Logistics, finance and poverty related data; DSF; private sector; patient/case based information; integration of all urban health data (SSFP, UPHCP, etc.) & other upcoming systems (e.g. OP reporting)  Improve & decentralize data entry and utilization for program monitoring and decision making 27.05.2016

6 27.05.2016 Seite 6 Page 6 1.Monitor reporting 2.Monitor data reliability 3.Monitor facility services 4.Perform Disease Surveillance 1.Monitor Trainings 2.Monitor Leaves 3.Monitor Postings 1.Health expenditure tracking 2.Beneficiary payments 3.Insurance tracking 1.Lab Tests 2.Diagnosis 3.Treatment 5 HIS Architecture UID 1.External Agencies 2.Drug Stores 3.Labs UID 1.Electronic health records 2.Service tracking in the community 3.Decision support to work force UID HIS 1.Logistics management 2.Requirement Forecasting 3.Equipment

7 27.05.2016 Seite 7 Page 7 DHIS 2 : Technical Specifications  The Application is Free and Open Source,  Developed using four layer architecture. The layers are Database layer, Hibernate, Spring and Webworks.  The application is modular in structure and capable of being plugged in with other applications even if running in different platforms  The Application run both online and offline with the same features.  The application is Database independent and is now currently optimized for free and open source MySQL 5.0 database.  The application is platform independent which can be run on both Windows 2000,Me,XP and above and Linux like operating systems.  The application is support multi-language customization both the user screen and database. 27.05.2016

8 27.05.2016 Seite 8 Page 8 Open Source sustainability advantages 27.05.2016

9 27.05.2016 Seite 9 Page 9 Need for standard identity of reporting units  Present status: No central register of healthcare service providers and administrative division of a country.  Consequence: missing unique identity of districts, upazilas, facilities and NGOs  Example of different spelling of upazila name: NNPFPTB JhalkhathiJhalokatiJhalakati

10 27.05.2016 Seite 10 Page 10 Need for unified definitions of data elements and indicators  Several MISs collect the same information but uses different names of the data elements.  Data elements are not clearly defined and definitions are not shared between MIS’s  Consequence: It is very difficult to interpret routine data and indicators results  Example: FPEPIUPHCP Women who received TT 1st dose Pregnant Women Give TT1 dose TT Vaccination Dose 1

11 27.05.2016 Seite 11 Page 11 DMIS standards (data interchange) (ISO/TS 17369: 2005 SDMX-HD)  For metadata - ISO/IEC 11179  For data interchange - ISO/TS 17369: 2005 SDMX-HD

12 27.05.2016 Seite 12 Page 12 DMIS: ETL (Extract, Transfer, Load) Process

13 27.05.2016 Seite 13 Page 1313 DMIS: Meaning of Data Values

14 27.05.2016 Seite 14 Page 1414 DMIS: ETL Process

15 27.05.2016 Seite 15 Page 15 Thank you 27.05.2016


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