Transcript Document
Electronic Health Management Information System
(eHMIS) to build
Strategic Information in the Ethiopian Health Sector
(WEAE0704)
Dr. Wuleta Lemma1,Assistant Professor, Director of Center for Global
Health Equity, Tulane University USA
Hiwot Tesfaye1 ,Head of Health Informatics Systems DeploymentTulane University Ethiopia Program
Abigail Belete2 ,Head of Software Development InformaticsTulane University Ethiopia Program
Outline
Brief Introduction
Objective
Major Features
Brief Introduction: About Ethiopia health
infrastructure
Federal level
(Federal Ministry of
Health)
Specialized/
referral Hospital =
15
Regional Level
(Regional Health Bureau)=11
Zonal Level
(Zonal Health Dept.)=72
Woreda Level
(Woreda Health
Office)=811
Kebele ~ 15,000
Regional
/Zonal
Hospital=34
District Hospital= 56
Primary Health Care Unit (HC + 5HP)
Health Centers = 2,142
5Million Pop
1Million Pop
250,000 Pop
25,000 Pop
Health Post = 14,192
*Health and Health Related Indicators 2001 and 2002 Federal Democratic Republic of Ethiopia Ministry of Health
5,000 Pop
Brief Introduction : About the HMIS
Standardize
Indicators & definitions
Disease list for reporting & case definitions
Client / patient flow & data elements
Recording & Reporting forms
Procedure manual
Information use guidelines:
Simplify
Reduce data burden
Streamline data management procedures
Integrate
Data channel
Client / patient information at facility
* HMIS/M&E Technical Documentation ,Manual January 2008 Federal Ministry of Health
Brief Introduction: About HMIS
Indicators by Category
0
5
10
15
20
25
30
35
40
Family Health
Disease Prevention &Control
Resource
Health System
* HMIS/M&E Technical Documentation ,Manual (Indicator Definitions Area1), January 2008 Federal Ministry of Health
45
50
19 /46
HIV/AIDS
Related
Indicators
Brief Introduction: About HMIS
HMIS captures much of its service and disease surveillance
data from client/patient records that health professionals
maintain for care and follow up.
HMIS reports contain the data required to calculate the
indicators used for monitoring and evaluation of the health
system
Objective of Electronic Health Information System
The Initiation to Implement EHR system at facility and higher
levels by FMOH in collaboration with Tulane and CDC has
created good opportunity to establish automated electronic
report distributions within the different levels of the health
system using e-HMIS module
e-HMIS insures data completeness, validity, timeliness, ease
of data/report compilation and promotes information use at
all levels.
e-HMIS system architecture employs Health Data Warehouse
concept.
e-HMIS Module Major Features
Produce all types of HMIS reports at health facility, Woreda
Health office, zonal health Department, Regional health
Bureau and Federal Ministry of Health on monthly ,
quarterly and annual bases.
Sending and receiving HMIS reports electronically through
secure e-mail (by means of any available communication
infrastructures including CDMA, GPRS, PSTN-Dialup,
Broadband, etc) and other removable media (such as USB
flash disk, CD/DVD).
Provides data validation, completeness and timeliness.
Provide data analysis tools such as indicators computation
tools and charts
… e-HMIS Module Major Features
Provides easy and instant
performance monitoring
reports and chart.
Supports automated data
abstraction from site that has
fully implemented Smartcare
–EMR.
Supports multi-point data
encoding.
… e-HMIS Module Major Features: Reports
Diseases reports
OPD (out patient department) disease report
IPD (in patient department) diseases report
OPD and IPD diseases report aggregation at woreda
health office and higher levels
Service delivery reports
Quarterly service delivery report at health facilities
Annual service delivery report at health facilities
Service delivery report aggregation at woreda and
higher levels
Other reports
Top ten diseases
Key Indicators
Report Status
User defined adhoc reports
… e-HMIS Module Major Features: Reports
Disease Surveillance features
Tracks twenty diseases cases
Data validation and completeness
Vertical data integration and secure
communications
Works with the Paper-based
reporting system
GIS – based data analysis
User defined queries and charts
* HMIS/M&E Technical Documentation ,Manual (Disease Classification for National Reporting and Case Definitions Area 2), January 2008
Federal Ministry of Health
Works with Paper Based Reporting
HMIS/M&E Reporting Flow Diagram
Council of Ministers
Other Ministers
Development Partners
Regional
Health
Bureau
Zonal Health
Department
Woreda Council
Woreda
Health Office
Health
Center/Clinic
Kebele Council
Routine Supervisory
Channel
Partnership Channel
Health Post
International Bodies
(WHO, etc..)
Federal
Hospitals
Regional
Hospitals
Zonal Hospitals
(MOH ,NGOs
and
Private,etc..)
Woreda Hospitals
(MOH,NGOs,Priv
ate,etc..)
Disaggregated Data
Aggregated Data
Regional
Council
FMOH
….HMIS report flow and the heath data warehouse
National Ministry of Health
Individual
Record
Repository
Central Statistical Office/EHNRI/
Others
Survey, Survey
Design
Repository
DataMart/
Reporting
Repository
Manage
System
Interface
Printer
Manage
System
Interface
Geographic
Information
System
Workstation
Regional Health Department
Workstation
Pharmacy
Drug Supply
Database
Manage
System
Interface
National Backbone
Individual
Record
Repository
Printer
DataMart/
Reporting
Repository
Manage
System
Interface
Geographic
Information
System
Workstation
Printer
Woreda Health Office
Manage
System
Interface
Workstation
Woreda
Services &
Indicator
Repository
Geographic
Information
System
Clinical Laboratory
Specimen, Test,
Test Result
Database
Printer
Printer
Workstation
Provider
Printer
Workstation
Electronic
Health
Record
Manage
System
Interface
Manage
System
Interface
Printer
Workstation
e-HMIS Module: Secured Communications
Reports are encrypted and
compressed for electronic transfers
(flash disk/CD/email).
Clear
report
Secured
Email
transfer
(through
SSL)
Encrypted report ready for transfer
Decrypted report
ready for import
Data Analysis Tools
GIS –based data Analysis
Full integration with GIS
mapping
More analysis tools
such as user defined
reports and charts
GIS –based data Analysis
Includes 1-1 Km grid assigned
with unique tag to identify
disease occurrence
Next steps
• Additional Features
– SDMX and Indicator repositories
• Scale up to cover more than 800 Woreda’s in
Ethiopia by the end of 2012
Thank You