Neotree
Origin language: English
Country
Zimbabwe
Malawi
Coverage
N/A
Nb of implementation sites
N/A
Lead organization
Implementation partners
Health Focus Area
Maternal and child health
Services
Electronic medical record
Others
Learning and training
Decision Support
Enabling technologies
Software
Phone
Other
Standards
N/A
Tools
N/A
Funding sources
Government funds
Research grants
Private funds
Business model
Others
Funders
Summary
The Neotree project is a transformative technology initiative developed through a partnership between leading academic institutions, local clinicians, and digital specialists. This innovative system uniquely combines data collection, clinical decision support, and education to enhance newborn care in low-resource settings. The Neotree system, backed by seven years of rigorous research from University College London and recognized with the Wellcome Trust Innovator Award, empowers healthcare professionals to improve care quality, strengthen health systems, and significantly reduce newborn mortality.
Operating in Zimbabwe and Malawi, Neotree has the potential to save over half a million babies each year. It aims to revolutionize newborn care in low-resource hospitals by providing healthcare professionals with a comprehensive technology system that supports data-driven decisions and educational growth, with the ultimate goal of substantially decreasing newborn mortality rates.
The project has transitioned to a routine operational stage, focusing on maternal and child health through software-based decision support. Neotree's implementation and outcomes have been significant, benefiting over 10,000 individuals. Key publications documenting its development and impact include studies on the NeoTree application, its usability in low-resource neonatal units, and its role in improving infection management in neonatal units in Malawi and Zimbabwe.
Funded by University College London and the Wellcome Trust, the Neotree project represents a significant advancement in neonatal healthcare, demonstrating the potential for technology to transform health outcomes in resource-limited settings. For further details, relevant research can be accessed through various academic publications and project reports.
Keywords
Newborn health
Clinical Decision Support Systems CDSS CoP
BETTEReHEALTH
Publications
Usability-Focused Development and Usage of NeoTree-Beta; an App for Newborn Care in a Low-Resource Neonatal Unit; MalawiDevelopment and implementation experience of a learning healthcare system for facility based newborn care in low resource settings: The NeotreeThe NeoTree application: developing an integrated mHealth solution to improve quality of newborn care and survival in a district hospital in MalawiElectronic application to improve management of infections in low-income neonatal units: pilot implementation of the NeoTree beta app in a public sector hospital in ZimbabweInsights - Lessons learnt
Challenges
N/A
Recommendations
The implementation costs could be substantially reduced at scale due to economies of scale because of integration to the health systems and reductions in cost items such as staff and overhead. More studies assessing the impact and cost-effectiveness of large-scale mHealth decision-support tools are needed
Recommendations
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Any additional questions?
iDHA (Project ID)
vggmm0
Project links
https://neotree.org/aboutOrigin of information
Publication report
Data source link
https://www.odess.io/Added to the platform on
2024-05-01
Project editors
Last update by
Tawana Maziwisa on 2026-02-13
Number of views
377
WHO classifications




