Maternal mortality rate in the United States had increased by more than 25 percent from 2000 to 2013. Reducing maternal death during childbirth requires in-depth examination of isolated causes of death. With the major growth of big data and applications, it is possible to collect, analyze and compare specific maternal death causes and contributing factors to predict who’s susceptible to fatality and what can be done to prevent it. It will help to develop focused clinical and public health prevention programs.
Introduction
Maternity death is rising for unclear reasons in United States. USA is the only developed nation where that rate is increasing and getting worse.
American women are more likely to die from childbirth than women in any other high developed country. Based on research and analysis by the Center for Disease Control and Prevention, maternal death greatly increased from 2000–2014 and more than half of such incidents could have been prevented with the current medical technology.
Most of the cases were result of medical error and unprepared hospitals. Doctor’s ability to protect the health of mothers in childbirth is a basic measure of a society’s development. Yet every year in the United States 700 to 900 women die from pregnancy or childbirth-related causes, and some 65,000 nearly die. By many measures, the worst record in the developed world.
We have ability to prevent it, by analyzing each cause and predict with monitoring the cases and usage of the Big Data and Analytics.