Using data to reduce Maternal mortality rate in Africa part 1

According to WHO, about 295 000 women died during and following pregnancy and childbirth in 2017 throughout the whole world, 94% of all these maternal deaths occur in low and lower income countries, where most African countries lie.

If strategic measures are taken using data in mainly in low and lower income countries, this maternal mortality rate can be greatly reduced.

How can data reduce Maternal mortality rate?

Through continuous monitoring of mothers, during and after pregnancy, we use this health data collected in modern AI algorithms to predict fatal conditions before they happen.

This provides solutions to some of the challenges when fighting maternal deaths in Africa.

1. Absence of extensive health status monitoring along the whole continuum of pregnancy, childbirth and postnatal care yet this is very crucial.
2. Most maternal deaths are preventable with timely management by a skilled health professional working in a supportive environment, through continuous monitor the ability to predict risk factors like hemorrhage (excessive blood loss) before they cause hypovolemic shock, the early alarm can give some more time to a new mother to seek medical attention before even hemorrhage condition.

In Health every second counts

3. In African settings we can even connect this expectant mothers and new mothers with Village Health Teams (VHT) so that they can get notified if a mother can’t move or can’t call for help.

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