Skip to content
For the complete DHIS2 documentation index, see llms.txt.
alt__User Stories
Tanzania Integrated Health Information Architecture

Tanzania: Integrated Health Information Architecture

Tanzania Mainland has come a long way in implementing and rolling out its HIS using DHIS2 technology. Over the lapse of five years, the country has succeeded in shifting from a system that had completely outgrown itself to a nationally supported system.

HMIS web portal, powered by DHIS2

"How did you come so far, so rapidly?" is a question that the lead implementers, Wilfred Senyoni and Dr. Honest C. Kimaro, often find themselves answering. Building up local capacity is the first answer. Getting key partners and stakeholders involved very early on in the process is the second.

The combination of a highly committed team and an unrelenting attitude to getting the rollout done were contributors to this success story. Owing to a joint effort between the MoHSW, the University of Dar es Salaam and UiO, students and researchers have played an essential role in identifying and implementing open-source tools and technology; introducing that data collection standards; proactively engaging with communities for good usability input, and conducting "action-led research".

Local capacity building helped shape the project. Tanzanian project managers were quick to gauge how vital the role of building up local teams with local expertise would be in establishing a strong backbone to their system. Instilling a sense of ownership, responsibility and accountability at all levels has made a huge difference in the quality and timeliness of reported data.

"We want to drive decision-making as much as possible using this powerful analytical to the full," says Wilfred Senyoni. Indeed, the interoperability of DHIS2 with other systems is helping the MoHSW to gain visibility as to where and how to tackle the most pressing health issues within Tanzania. Good examples of this are the eIDSR tool that uses DHIS2 and USSD technology to detect and respond to infectious diseases, and eLMIS interoperability with DHIS2, which compares and triangulates the service delivery data with the logistics.

You can also read the longer version of this use case here.