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Launching an AMR One Health Surveillance System in Nepal

Launching an AMR One Health Surveillance System in Nepal

The Software for Health Foundation was part of the AoS project team working in conjunction with the FIND (Foundation for Innovative New Design) digital access team, to implement the AoS / One Health AMR Surveillance System, in Nepal. This included implementation of the AoS Digital Infrastructure, DHIS2 and Open Interop middleware. As part of this intervention, SfHF also developed a desktop application, ODX, to transform and standardise spreadsheets containing AMR health data ahead of transmission into the surveillance system bringing standardisation and automation into the process of loading data into DHIS2.

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Integrating AMR One Health Surveillance in Kenya

Integrating AMR One Health Surveillance in Kenya

The challenge was to integrate the AoS Health One Health Surveillance system into an established technical architecture in Kenya. The existing Kenya health system gathered AMR testing data into a singular Central Data Warehouse. The focus of this project was to implement and customise the AoS/AMR turnkey One Health Surveillance system within the MOH’s infrastructure and to establish a robust transmission linkage between the CDW and the One Health Platform. Running simultaneous implementations of AMR One Health Surveillance Systems in Nepal the project was able to implement requirements as laid out in the Kenya national action plan and loading historical data as well as establishing real-time updates.

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PEARL - On device interoperability between Simprints and REDCap for TB

PEARL - On device interoperability between Simprints and REDCap for TB

The PEARL Study is part of an initiative run by the University of Sydney and Ministry of Health Kiribati to eliminate TB and Leprosy in the Western Pacific. This initial study is focused on the island of South Tarawa in the Republic of Kiribati. The Software for Health Foundation was brought in to develop an application that would allow the transfer of unique patient identifiers (based on facial coordinates) into the study database.

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