Collect and understand data about women and children’s health outcomes

Recognizing that the death rates of women and newborns often occur during and after pregnancy in most low-income countries like the Democratic Republic of Congo, we saw to harness data in order to monitor and assess medically related indicators linked to such high mortality rates. To best harness impactful data, we have partnered with local congolese hospitals to help us collect, monitor and assess women and their newborns health prevalence.

 Funded by Grand Challenges Canada

Partners

3

Hospitals

3

Data

5,000
UPN Clinique Maternelle
Centre Medical La Trinité

What's happening
In DRC

Giving birth should not be a death sentence for a woman, nor should a child not live past the age of 5. Sadly in some settings like in the DRC, this is the case.

Vision

Science

The importance of scientific research to inform social and economic development of society; generating data on the prevalence of MCNH in Congo can do that (with long-term impact implication).

Technology

By synchronizing existing healthcare administration sheets (data mining and storage); digitalizing current clinics into an online medical spreadsheets and using those findings to continuously visualize the prevalence of MCNH disease burden and demographics input.

Social-Enterprise

By visualizing data mines of clinical findings online, our website will serve as a point of reference and a hub that gather foreign international agents, researchers and health investors interested in conducting work in the DRCongo. This will create research and technology-based jobs in Congo while informing research-based decisions at the international scale.