Objective
mHealth4Afrika is a collaborative research project that addresses maternal and newborn healthcare delivery, a key requirement of end-user communities in developing countries, and priority area in both the 2015 Millennium Development Goals and Post-2015 Sustainable Development Goals.
Aligned with Horizon 2020 Societal Challenges, mHealth4Afrika will research and evaluate the potential impact of co-designing an open source, multilingual mHealth platform on the quality of community based maternal and newborn healthcare delivery in Southern Africa (Malawi, South Africa), East Africa (Kenya) and Horn of Africa (Ethiopia).
Research and innovation actors from three European and four African countries will engage with local end-user communities (i.e. representatives of parents and local community leaders, Ministry of Health, healthcare professionals and volunteers, health oriented NGOs). Based on this User-centred Design, Living Labs, Collaborative Open Innovation based approach, the consortium will integrate and adapt
· Multilingual electronic health records to store patient history, associated tests and test results;
· Sensors to capture the results of a range of standardised tests for expectant and lactating mothers, unborn babies and infants;
· Analytical and visualisation tools to facilitate the interpretation and monitoring of the patient results; and
· Multi-lingual and multimodal mobile interfaces leveraging visualisation and speech synthesis to address literacy deficits and digitise data gathering through electronic forms.
By focusing on accessibility, usability and integrated training, this will facilitate urban, rural and deep rural healthcare workers to adopt and use a comprehensive system that integrates quality community based healthcare delivery with telemedicine. The expected outcome is a multi-region proof of concept that can make a significant contribution in accelerating exploitation of mHealth across Africa.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health scienceshealth scienceshealth care serviceseHealth
- social sciencessociologydemographymortality
- social sciencespolitical sciencespolitical policiescivil societynongovernmental organizations
- humanitieshistory and archaeologyhistory
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
3 DUBLIN
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.