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03.07.22 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

Bringing data into common place through use of appropriate database software

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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. DMIS Project objectives. DMIS is a project funded by giz and its objectives are : - PowerPoint PPT Presentation

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Page 1: Bringing data into common place through use of appropriate database software

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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

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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

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Making data compatible and comparable

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UPHCP

MIS

EPI TB

MIS

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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

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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

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1. Monitor reporting2. Monitor data reliability 3. Monitor facility services4. Perform Disease

Surveillance

1. Monitor Trainings2. Monitor Leaves3. Monitor Postings

1.Health expenditure tracking

2.Beneficiary payments3.Insurance tracking

1. Lab Tests2. Diagnosis3. Treatment

5

HIS Architecture

UID

UIDUID

UID

1. External Agencies2. Drug Stores3. Labs

UID

1. Electronic health records2. Service tracking

in the community3. Decision support

to work force

UID

HIS

1. Logistics management

2. Requirement Forecasting

3. Equipment

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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.

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Open Source sustainability advantages

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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:

NNP FP TB

Jhalkhathi Jhalokati Jhalakati

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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:

FP EPI UPHCP

Women who received TT 1st dose

Pregnant Women Give TT1 dose

TT Vaccination Dose 1

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DMIS standards (data interchange) (ISO/TS 17369: 2005 SDMX-HD)

For metadata - ISO/IEC 11179 For data interchange - ISO/TS 17369:

2005 SDMX-HD

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DMIS: ETL (Extract, Transfer, Load) Process

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DMIS: Meaning of Data Values

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DMIS: ETL Process

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Thank you

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