Enhancing maternal and child health in rural areas through AI and mobile health solutions
1 University of Akron, School of Nursing, US.
2 Life's Journey Inc. Winnipeg, Manitoba, Canada.
3 Enugu State University Teaching Hospital, Parklane, Enugu, Nigeria.
4 Austin Peay State University, Clarksville, TN, USA.
Review
International Journal of Biology and Pharmacy Research Updates, 2024, 04(01), 035–050.
Article DOI: 10.53430/ijbpru.2024.4.1.0028
Publication history:
Received on 01 July 2024; revised on 11 August 2024; accepted on 13 August 2024
Abstract:
Enhancing maternal and child health in rural areas presents significant challenges due to geographic isolation, limited healthcare infrastructure, and a shortage of medical professionals. This abstract explores the transformative potential of artificial intelligence (AI) and mobile health (mHealth) solutions in addressing these challenges and improving health outcomes for mothers and children in underserved regions. AI technologies offer robust tools for predictive analytics, decision support, and personalized care. In rural healthcare settings, AI can enhance maternal and child health by providing real-time insights into patient data, predicting potential complications, and supporting personalized treatment plans. For instance, AI algorithms can analyze data from electronic health records to identify high-risk pregnancies, enable early intervention, and optimize resource allocation. Furthermore, AI-driven chatbots and virtual health assistants can offer remote consultations and health education, reducing the need for travel and making healthcare more accessible. Mobile health solutions, including smartphones and wearable devices, play a critical role in bridging gaps in rural healthcare. mHealth applications facilitate remote monitoring of maternal and child health metrics, such as blood pressure, glucose levels, and fetal heart rates. These applications can alert healthcare providers to potential issues, enabling timely interventions. Mobile platforms also support health education, offering resources on prenatal care, nutrition, and childhood vaccinations, thus empowering individuals with knowledge and tools to manage their health proactively. By integrating AI and mHealth technologies, rural healthcare systems can achieve significant improvements in maternal and child health outcomes. These technologies provide essential support in areas with limited medical resources, enhance access to quality care, and enable more effective management of health conditions. However, successful implementation requires addressing barriers such as technology adoption, data privacy concerns, and infrastructure limitations. In conclusion, leveraging AI and mHealth solutions holds promise for transforming maternal and child health care in rural areas, offering innovative approaches to overcoming existing challenges and enhancing overall health outcomes.
Keywords:
Maternal Health; Child Health; Rural Area; AI; Mobile Health Solution
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0