1. Chris Opit  Mattias Wiklund
Enhanced Management Information Systems to Support Public Health Commodity Security for Improved Health Outcomes
ICT4D Conference
May 2017
Chris Opit  Mattias Wiklund

2. Outline Overview and Country Implementations (Chris Opit)
Introduction to OpenLMIS and Community
Guiding Principles and Software Development
Implementations
Benefits Accrued
Integration and Development Roadmap (Mattias Wiklund)
Integration points and samples
Case Study: Tanzania
Theory and Reality
RMNCH Dashboard: Combining HMIS and LMIS data in Tanzania
OpenLMIS Roadmap and Features

3. What is OpenLMIS?
An open source, web-enabled, enterprise class electronic logistics management information system (LMIS) purpose-built to manage health commodity supply chains The OpenLMIS initiative incorporates a community-focused approach to develop open source and customizable LMIS systems

4. The OpenLMIS Community

5. Guiding Principles
Fig 1: Infographic on Principles for Digital Development: From Maiko Nakagaki, CIPE (3 October, 2016),

6. Unveiling OpenLMIS version 3
A migration to a micro services architecture
Bundles separate, standalone, deployable ‘services’ supporting different supply chain workflows
Flexible and extensible
Facilitates adoption and customization of select services to fit country needs
Enables specialized community teams to maintain and contribute code to specific services
Quicker implementation of enhancements and bug fixes

7. Implementations
OpenLMIS has been implemented in 6 countries/geographies, with two additional deployments planned in July 2017
Benin (2015), Côte d’Ivoire (2015), Mozambique (2014) , Tanzania (2013), Zanzibar (2014), Zambia (2014)
Guinea and Malawi – Rollout in 2017
Prospective implementations
Cameroon, Liberia, Senegal

9. Tanzania and Zambia Implementations
Management of more than 1000 medicines and supplies
Supports more than 2500 health facilities in Zambia and more than 6000 in Tanzania
In Zambia
Facility Edition
District Module
Hub Module
Central Edition
In Tanzania

10. Tanzania Implementation
Share and Review Reports
instant
paper
Review changes
Send R&R
eLMIS
for Incorrect Order
District
Send and Review Reports
eLMIS
Send R&R E9
LMU/Zone
ILS Gateway Data
ILS Gateway Data 1
Health Facilities
District Delivery
Proof of Delivery notification
Central/MOH accesses ILS Gateway and eLMIS data instantly.
Deliver Consignment
instant
Zone Deliver
Deliver Consignment 2
eLMIS / ILSG
Central / MOH

11. Benefits Rolled out at national scale
Accessible to all stakeholders of the supply chain
A source of data for forecasting and quantification
Data entry burden is distributed away from the central warehouse
Easy adoption and sustainability through strategic capacity building
Reduced stock outs and wastage = improved service delivery and cost savings

12. Zambia Data Entry Workload Distribution

13. Integration & Interoperability
Introduction
Integration points and samples
Case Study
Tanzania
Theory
Reality
RMNCH Dashboard: Combining HMIS and LMIS data in Tanzania

14. Integration & Interoperability
Zambia EMR/SmartCare
Zambia MACS
Tanzania EPICOR9, mSupply
Mozambique ESMS (front-end client)
Tanzania CommTrack
TZ HMIS/LMIS dashboard

15. Motivation: The theory behind combining HMIS & LMIS data
Logistics Management Information System (LMIS)
Data needed to operate a supply chain.
Health products data (quantities consumed, SOH, losses and adjustments.)
Improved supply chain performance, improved service delivery, better data, and enhanced communication.
Integrated HMIS/LMIS Dashboard
Health Management Information System (HMIS)
Program information
Disease incidence, client/patient information, and health services rendered.
Track disease patterns and health service utilization.

16. Motivation: The reality of combining HMIS & LMIS data
Few example countries where routinely implemented
United Nations Commission on Life-Saving Commodities
Whitepaper
Integration tests in Tanzania and Senegal
Tanzania and Senegal RMNCH Dashboards
Document the real-world experiences, considerations and lessons learned to assist deployments in other countries.

17. RMNCH Dashboard: Combining HMIS and LMIS Data in Tanzania

18. System requirements and considerations
Manual matching of facility lists
Database and software updates to enable data sharing
Interim solution: scheduled one-to-one data exchange
Next steps in Tanzania: Health Information Mediator

19. User Requirements User requirements
Requirements gathering workshop with stakeholders
Research and interviews to refine user requirements
Generated mockups and collected feedback
Iteratively developed multiple versions of dashboard, incorporating feedback

20. Data Mapping
Mapping LMIS products to client service data reported through HMIS forms
Family Planning
Female Condoms
Implants
Emergency Contraceptive
Maternal Health
Oxytocin
Misoprostol
Magnesium sulphate
Injectable antibiotics
Newborn Health
Antenatal corticosteroids
Resuscitation devices
Child Health
Amoxicillin
Oral rehydration
Zinc sulphate
Infection Prevention
Chlorhexidine antiseptic

21. Comparison of Data
LMIS data compared with service data (sample dashboard graph with sample data)

22. Lessons Learned Mitigation & Recommendations
Challenges & Lessons Learned
Reporting period mismatch
Facility/product list matching/synchronization
Data interpretation
Mitigation & Recommendations
Calculated month
Updates to reporting period
Matched lists manually and developing maintenance SOP
Integration of all systems with Master Health Facility List
Mapping of service and commodity
Updates to HMIS form
In-depth analysis to establish red/yellow/green thresholds

23. Version 3 Roadmap Modular Framework Requisitions System Administration
Mar 2017
June 2017
Aug 2017
Nov 2017
Requisitions
Modular Framework
Vaccine Feature Set
Stock Management
Reporting/Analytics
(ongoing deployments)
System Administration
Ad-hoc Program Data
Collection
3.2
3.3
3.0
3.1

24. Version 3 Features and Functionality
Requisitions
Offline capable
Complex approval hierarchies
Stock Management
Electronic stock cards
Physical inventory
Track ins/outs
BI tool support (ex. Tableau) for data visualization
GTIN tracking / GS1 compliant
Vaccine Feature Set
CCE management
Demand calculation
Mixed supply chain

25. Thank You Chris Opit: copit@zm. jsi. com Mattias Wiklund: mwiklund@jsi
Thank You Chris Opit: Mattias Wiklund:
For additional information:
openlmis.org