On 1 January 2022, the HISP project at the University of Oslo (UiO) became the HISP Centre at UiO. The HISP Centre is an interdisciplinary center that promotes research, innovation and capacity building in digital global health and related areas, helping low- and middle-income countries to deploy digital tools to monitor public health, combat and prevent pandemics, and manage treatment programs for severe illnesses like Malaria, Tuberculosis, and HIV.
The HISP center works in partnership with national and international actors including Norad, the Global Fund, the Gates Foundation, PEPFAR, the CDC, Gavi, Unicef, and the WHO — with a combined investment of more than USD $23 million for 2022 — on the continued development, implementation and use of the open-source DHIS2 software as a Digital Public Good. Through this work, the HISP Centre supports the achievement of the United Nations’ Sustainable Development Goals (SDGs), particularly in relation to good health and wellbeing and quality education.
A strategic shift
The background for the strategic focus is provided by the tremendous growth the DHIS2 platform has experienced in recent years, making it a leading example of a Global Public Good for health information systems with presence in 67 low and middle-income countries (LMICs) and various international NGOs (including PSI, MSF, NRC) creating a global footprint of 2.30 billion people.
Contributing to this growth is the significant investment and resources from various international organizations that has enabled HISP UiO to drive processes of software development, implementation support and research that has supported the creation and spread of a global community of DHIS2 users.
The proposed strategic shift will help to achieve our mission;
From managing processes to enable ‘data in’ (to DHIS2), to focus on “data out” concerning data quality analysis and use for strengthening health services delivery and improving health outcomes.
Increasing district level support and integrating concurrent review systems to identify gaps and address them to make continuous improvements in “data out” processes.