Predicting Pregnancy Complications in Low Resource Contexts†
AbstractThe United Nations listed maternal mortality as a major problem especially in developing countries. Predictive models that predict pregnancy complications have been suggested as an intervention to reduce maternal mortality but at the moment, many are not used in clinical practice. This study proposes a service-dominant perspective as an alternative use of predictive models to create value for maternal healthcare. I anticipate that through the use of the service innovation framework and social capital theory, I can study how health practitioners and pregnant women can be empowered with skills and knowledge to predict pregnancy complications and trigger collaborative value creation.
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Nyende, H. Predicting Pregnancy Complications in Low Resource Contexts. Proceedings 2017, 1, 170.
Nyende H. Predicting Pregnancy Complications in Low Resource Contexts. Proceedings. 2017; 1(3):170.Chicago/Turabian Style
Nyende, Hawa. 2017. "Predicting Pregnancy Complications in Low Resource Contexts." Proceedings 1, no. 3: 170.
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