Drug abuse among pregnant women and the subsequent neonatal illness are very crucial clinical and social problems. Drugs misuse during pregnancy places the mother and her baby at increased risk of severe complications including deformities, low birth weight, and mental disabilities. Despite the availability of several treatment centers, many women do not seek needed help during and after pregnancy. In this paper, we propose a non-invasive Cloud-based Internet-of-Things (IoT) and Data Analytics framework that will provide support for women seeking addiction treatment during pregnancy. The system will use simplified sensors incorporated into a smartwatch to monitor, collect, and process vital data from pregnant women to identify instances of emergencies. During emergencies, the system automatically contacts specific needed service(s) and sends the processed data to the cloud for storage and Data Analytics to provide deeper insight and necessary decision making. The framework ensures that pregnant women are not confined to a facility and are reachable remotely by healthcare practitioners during addiction treatment. These capabilities guarantee that the system is operational during global pandemics like COVID-19. The framework integrates every patient’s data into a centralized database accessible to all healthcare practitioners thereby preventing multiple prescriptions of the same medication by different doctors.
Authors: Victor Balogun (University of Winnipeg, Winnipeg, MB, Canada), Oluwafemi Sarumi (The Federal University of Technology, Akure–FUTA, Nigeria), Oludolapo Balogun (University of Manitoba),
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