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introduction
title
Laboratory data transmission
short description
Laboratory data transmission for VL/EID scale up in Burundi context where only 22% of VL are performed while 90% of VL are required.
About the Team
Full Name(s)
Nelly Diane Curinyana; Jean Claude Nshimirimana
Position(s)
Procurement/TLP specialist; Knowledge Management Specialist
Email
NCurinyana@ghsc-psm.org;JNshimirimana@ghsc-psm.org
Chemonics RBU
Global Health Division
Project Name (if applicable)
USAID/GHSC-PSM
Affiliated Technical Practices/Department
Health
Tell us about your idea
What is the development problem you are trying to solve?
Using smartphone for laboratory data transmission to scale up viral load and Early Infant Diagnosis in Burundi.
What makes your idea unique?
Based on Burundi context this idea is unique in HIV area. We do need timely data for decision-making is term of lab product availability, sample transportation, machine's breakdown, and any other related information to increase the number of VL/EID tests performed.
Technical Details
Please describe the application of a technology you would use to enhance project’s outcomes and development impact
Some keys informations to be shared with the central level for decision-making will set in the smartphones. Smartphones will be distributed in the sites instruments for VL and EID. On weekly basis (every Friday) these sites will share the keys informations ( tests number performed, instrument downtime, number of kits of reagents consumed, number of sites transported samples, number of results returned, etc.) with central level.
These kind of informations will enable decision-making timely in terms of quantification adjustment, supply planning review, service maintenance intervention, site supervision, ART protocol/guideline review, ARVs distribution channel review, etc.
What country(s) could the technology be implemented in?
Burundi, any other countries
Please describe the potential outcomes of using the described technology (higher development impact, better decision making, cost-effectiveness, other)
The potential outcomes of this technology is the better decision making and cost-effectiveness. Based on Burundi context, there is the delay of decision making because lack of informations/data. As long as there is any system for data collection and sharing in place, central level has challenges to know what is happening at the site level such as, stock out, instrument downtime, sample availability, etc. A lot money is lost when products are procured while machines are not working for example.
Is this technology project-specific, or could it be replicated to enhance other projects?
This technology could be replicated to enhance other projects as well.

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