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Abstract Body: In low resource setting with constrained human, infrastructural, and capital resources for generations, there has been a litany of loss – loss of life, and loss of potential for better lives. Every year 2.7 million babies die due to complications from prematurity. To address this, the American Academy of Pediatrics (AAP) created an evidence-based clinical practice guideline called the Essential Care for Every Baby (ECEB) Action Plan, which teaches health care providers with essential newborn care practices, from the time of birth to discharge from the facility. However, the nuances of monitoring, tracking, and providing essential care to a large number of mother-baby pairs simultaneously, have a significant cognitive load on nurses, who must perform varied tasks every few minutes on each baby. In this high-load situation, although mothers might receive some care, the ‘voiceless’ baby gets ignored. We tackle the challenge of cognitive load to provide essential care for every baby in low-resource environments by proposing an innovative, scalable, clinical decision support mobile app based on the ECEB action plan, which prioritizes recognition over recall and addresses the abovementioned resource constraints.

Authors:

Anushri Singh Rajapuri (Presenter)
Indiana University-Purdue University

Radhika Ravindran, Indiana University-Purdue University
Kevin Horan, Indiana University-Purdue University

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